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Chenglin Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Cheng-Lin Liu 0001 (aka: Chenglin Liu 0001) — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Cheng-Lin Liu 0002 (aka: Chenglin Liu 0002) — Jiangnan University, Key Laboratory of Advanced Process Control for Light Industry, Institute of Automation, Wuxi, China
- Cheng-Lin Liu 0003 (aka: Chenglin Liu 0003) — Southwest Jiaotong University, Chengdu, China
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2020 – today
- 2024
- [j88]Xiao-Hong Ding, Yi Xiao, Fenfang Chen, Cheng-Lin Liu, Tong Fu, Zhi-Ming Shao, Yi-Zhou Jiang:
The HLA-I landscape confers prognosis and antitumor immunity in breast cancer. Briefings Bioinform. 25(3) (2024) - [j87]Ke Xiao, Anna Zhu, Brian Kenji Iwana, Cheng-Lin Liu:
Scene text recognition via dual character counting-aware visual and semantic modeling network. Sci. China Inf. Sci. 67(3) (2024) - 2023
- [j86]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Guest Editorial: Special Issue on Advances in Computer Vision and Applications (ACCV 2020). Int. J. Comput. Vis. 131(2): 406 (2023) - [j85]Xue Chen, Yi Huang, Liang Jiang, Qing Sun, Yuan Tian, Zhixiong Zhou, Jun Yin, Yan Gao, Chenglin Liu, Bo Huo:
Bilateral upper extremity trunk model for cross-country sit-skiing double poling propulsion: model development and validation. Medical Biol. Eng. Comput. 61(2): 445-455 (2023) - [j84]Chang Liu, Chun Yang, Haibo Qin, Xiaobin Zhu, Cheng-Lin Liu, Xu-Cheng Yin:
Towards open-set text recognition via label-to-prototype learning. Pattern Recognit. 134: 109109 (2023) - [c135]Jiaqi Zhang, Cheng-Lin Liu, Xiaoyi Jiang:
Interpolation Kernel Machines: Reducing Multiclass to Binary. CAIP (1) 2023: 174-184 - [c134]Xin-Jian Wu, Xiang Ao, Rui-Song Zhang, Cheng-Lin Liu:
Structural Recognition of Handwritten Chinese Characters Using a Modified Part Capsule Auto-encoder. CICAI (1) 2023: 478-490 - [c133]Jiaqi Zhang, Cheng-Lin Liu, Xiaoyi Jiang:
Quadratic Kernel Learning for Interpolation Kernel Machine Based Graph Classification. GbRPR 2023: 3-14 - [c132]Yi-Ming Chen, Xiangting Hou, Dongfang Lou, Zhilin Liao, Cheng-Lin Liu:
DAMGCN: Entity Linking in Visually Rich Documents with Dependency-Aware Multimodal Graph Convolutional Network. ICDAR (3) 2023: 33-47 - [c131]Yi Chen, Heng Zhang, Cheng-Lin Liu:
Improved Learning for Online Handwritten Chinese Text Recognition with Convolutional Prototype Network. ICDAR (4) 2023: 38-53 - [c130]Zhenru Pan, Zhilong Ji, Xiao Liu, Jinfeng Bai, Cheng-Lin Liu:
ViSA: Visual and Semantic Alignment for Robust Scene Text Recognition. ICDAR (2) 2023: 223-242 - [e23]Huimin Lu, Michael Blumenstein, Sung-Bae Cho, Cheng-Lin Liu, Yasushi Yagi, Tohru Kamiya:
Pattern Recognition - 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14406, Springer 2023, ISBN 978-3-031-47633-4 [contents] - [e22]Huimin Lu, Michael Blumenstein, Sung-Bae Cho, Cheng-Lin Liu, Yasushi Yagi, Tohru Kamiya:
Pattern Recognition - 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14407, Springer 2023, ISBN 978-3-031-47636-5 [contents] - [e21]Huimin Lu, Michael Blumenstein, Sung-Bae Cho, Cheng-Lin Liu, Yasushi Yagi, Tohru Kamiya:
Pattern Recognition - 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14408, Springer 2023, ISBN 978-3-031-47664-8 [contents] - 2022
- [j83]Bin Luo, Jin Tang, Cheng-Lin Liu:
Editorial: Special Issue on Recent Advances in Cognitive Learning and Data Analysis. Cogn. Comput. 14(3): 1080-1081 (2022) - [j82]Yuan-Xing Zhao, Yan-Ming Zhang, Ming Song, Cheng-Lin Liu:
Adaptable Global Network for Whole-Brain Segmentation with Symmetry Consistency Loss. Cogn. Comput. 14(6): 2246-2259 (2022) - [j81]Tie-Qiang Wang, Xiaoyi Jiang, Cheng-Lin Liu:
Query Pixel Guided Stroke Extraction with Model-Based Matching for Offline Handwritten Chinese Characters. Pattern Recognit. 123: 108416 (2022) - [j80]Xiang Li, Yuchen Jiang, Chenglin Liu, Shaochong Liu, Hao Luo, Shen Yin:
Playing Against Deep-Neural-Network-Based Object Detectors: A Novel Bidirectional Adversarial Attack Approach. IEEE Trans. Artif. Intell. 3(1): 20-28 (2022) - [c129]Yuan-Jun Yu, Cheng-Lin Liu:
Practical Fixed-time Distributed Average-tracking for Second-order Multiagent Systems. ICARCV 2022: 808-813 - [c128]Jiaqi Zhang, Cheng-Lin Liu, Xiaoyi Jiang:
Interpolation Kernel Machine and Indefinite Kernel Methods for Graph Classification. ICPRAI (2) 2022: 467-479 - [c127]ZhongShuai Qin, Yanyong Su, Ruiran Liu, Chenglin Liu:
Codebook Optimization Design of Serial Encoding SCMA System. ISNCC 2022: 1-4 - [i4]Jian-Hui Chen, Zuo-Ren Wang, Cheng-Lin Liu:
Replacing Backpropagation with Biological Plausible Top-down Credit Assignment in Deep Neural Networks Training. CoRR abs/2208.01416 (2022) - 2021
- [j79]Jinchang Ren, Amir Hussain, Jiangbin Zheng, Cheng-Lin Liu, Bin Luo:
Editorial: Special Issue on Recent Advances in Cognitive Learning and Data Analysis. Cogn. Comput. 13(4): 785-786 (2021) - [j78]Cong Wang, Cheng-Lin Liu:
Multi-branch guided attention network for irregular text recognition. Neurocomputing 425: 278-289 (2021) - [j77]Chenglin Liu, Xiaohua Wang, Qiang Zhang, Dongliang Chen, Juncai Dong:
Studies on Location of Acupoints with X-ray Fluorescence Analysis Based on Synchrotron Radiation. J. Medical Imaging Health Informatics 11(8): 2178-2183 (2021) - [c126]Zhan Zhang, Yun-Tian Wang, Bang Li, An Guo, Cheng-Lin Liu:
Deep Rejoining Model for Oracle Bone Fragment Image. ACPR (2) 2021: 3-15 - [c125]Shenglan Chu, Mengyao Liu, Bowen Wang, Huan Zhao, Chenglin Liu, Jiayi Guo, Bin Zhao:
Dynamics analysis and countermeasures of covid-19 epidemic. ICAIIS 2021: 127:1-127:8 - [c124]Yichi Li, Shenglan Chu, Huan Zhao, Fumei Rong, Chenglin Liu, Suling Zhao, Zhen Wang, Zhouqiang Xiong:
Rapid Prediction and Evaluation of COVID-19 Epidemic in the United States Based on Feature Selection and Improved ARIMAX Model. ICAIIS 2021: 299:1-299:8 - [c123]Likun Gao, Heng Zhang, Cheng-Lin Liu:
Handwritten Text Recognition with Convolutional Prototype Network and Most Aligned Frame Based CTC Training. ICDAR (1) 2021: 205-220 - [c122]Tie-Qiang Wang, Cheng-Lin Liu:
Handwriting Trajectory Recovery from Off-Line Multi-Stroke Characters by Deep Ordering Prediction and Heuristic Search. ICME 2021: 1-6 - [c121]Yongyu Xiong, Peipei Yang, Cheng-Lin Liu:
One-Stage Open Set Object Detection with Prototype Learning. ICONIP (1) 2021: 279-291 - [c120]Likun Gao, Heng Zhang, Cheng-Lin Liu:
Regularizing CTC in Expectation-Maximization Framework with Application to Handwritten Text Recognition. IJCNN 2021: 1-7 - [c119]Yuan-Xing Zhao, Yan-Ming Zhang, Ming Song, Cheng-Lin Liu:
Region Ensemble Network for MCI Conversion Prediction with a Relation Regularized Loss. MICCAI (5) 2021: 185-194 - [c118]Deli Yu, Peipei Yang, Cheng-Lin Liu:
Learning-based Tensor Decomposition with Adaptive Rank Penalty for CNNs Compression. MIPR 2021: 42-48 - [c117]Yanbo Wang, Chenglin Liu:
Dynamic Integral Sliding Mode for Vehicle Platoon Control with Constant Time Headway Policy. ROBIO 2021: 1479-1484 - [e20]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part I. Lecture Notes in Computer Science 12622, Springer 2021, ISBN 978-3-030-69524-8 [contents] - [e19]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part II. Lecture Notes in Computer Science 12623, Springer 2021, ISBN 978-3-030-69531-6 [contents] - [e18]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part III. Lecture Notes in Computer Science 12624, Springer 2021, ISBN 978-3-030-69534-7 [contents] - [e17]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part IV. Lecture Notes in Computer Science 12625, Springer 2021, ISBN 978-3-030-69537-8 [contents] - [e16]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part V. Lecture Notes in Computer Science 12626, Springer 2021, ISBN 978-3-030-69540-8 [contents] - [e15]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part VI. Lecture Notes in Computer Science 12627, Springer 2021, ISBN 978-3-030-69543-9 [contents] - 2020
- [j76]Yunxue Shao, Cheng-Lin Liu:
Teaching machines to write like humans using L-attributed grammar. Eng. Appl. Artif. Intell. 90: 103489 (2020) - [j75]Chee-Kheng Chng, Chee Seng Chan, Cheng-Lin Liu:
Total-Text: toward orientation robustness in scene text detection. Int. J. Document Anal. Recognit. 23(1): 31-52 (2020) - [j74]Zhengya Sun, Cheng-Lin Liu, Jinghao Niu, Wensheng Zhang:
Discriminative structure learning of sum-product networks for data stream classification. Neural Networks 123: 163-175 (2020) - [j73]Pasquale Foggia, Mario Vento, Cheng-Lin Liu:
Special issue on "Applications of graph-based techniques to pattern recognition". Pattern Recognit. Lett. 134: 1-2 (2020) - [c116]Zhe-Yang Zhu, Cheng-Lin Liu:
A Novel Method Combining Leader-Following Control and Reinforcement Learning for Pursuit Evasion Games of Multi-Agent Systems. ICARCV 2020: 166-171 - [c115]Cong Wang, Cheng-Lin Liu:
Scene Text Recognition by Attention Network with Gated Embedding. IJCNN 2020: 1-8 - [c114]Ying Liu, Heng Zhang, Xiao-Long Yun, Jun-Yu Ye, Cheng-Lin Liu:
Table detection and cell segmentation in online handwritten documents with graph attention networks. MMAsia 2020: 42:1-42:6 - [e14]Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang:
Pattern Recognition and Computer Vision, Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12305, Springer 2020, ISBN 978-3-030-60632-9 [contents] - [e13]Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang:
Pattern Recognition and Computer Vision - Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12306, Springer 2020, ISBN 978-3-030-60638-1 [contents] - [e12]Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang:
Pattern Recognition and Computer Vision - Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12307, Springer 2020, ISBN 978-3-030-60635-0 [contents]
2010 – 2019
- 2019
- [j72]Chenglin Liu, Jianqiang Wang, Wenjuan Cai, Yuzhao Zhang:
An Energy-Efficient Dynamic Route Optimization Algorithm for Connected and Automated Vehicles Using Velocity-Space-Time Networks. IEEE Access 7: 108866-108877 (2019) - [j71]Yu-Juan Luo, Cheng-Lin Liu, Guang-Ye Liu:
Consensus Tracking by Iterative Learning Control for Linear Heterogeneous Multiagent Systems Based on Fractional-Power Error Signals. Algorithms 12(9): 185 (2019) - [j70]Cheng-Lin Liu, Andreas Dengel, Rafael Dueire Lins:
Editorial for special issue on "Advanced Topics in Document Analysis and Recognition". Int. J. Document Anal. Recognit. 22(3): 189-191 (2019) - [j69]Haiqing Ren, Weiqiang Wang, Chenglin Liu:
Recognizing online handwritten Chinese characters using RNNs with new computing architectures. Pattern Recognit. 93: 179-192 (2019) - [c113]Shi Yan, Wei Feng, Peng Zhao, Cheng-Lin Liu:
Progressive Scale Expansion Network with Octave Convolution for Arbitrary Shape Scene Text Detection. ACPR (1) 2019: 663-676 - [c112]Yuan-Xing Zhao, Yan-Ming Zhang, Cheng-Lin Liu:
Bag of Tricks for 3D MRI Brain Tumor Segmentation. BrainLes@MICCAI (1) 2019: 210-220 - [c111]Xiaobing Wang, Yingying Jiang, Zhenbo Luo, Cheng-Lin Liu, Hyunsoo Choi, Sungjin Kim:
Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation. CVPR 2019: 6449-6458 - [c110]Xiao-Long Yun, Yan-Ming Zhang, Jun-Yu Ye, Cheng-Lin Liu:
Online Handwritten Diagram Recognition with Graph Attention Networks. ICIG (1) 2019: 232-244 - [c109]Hong-Wei Pang, Peipei Yang, Xiaolin Chen, Yong Wang, Cheng-Lin Liu:
Insect Recognition Under Natural Scenes Using R-FCN with Anchor Boxes Estimation. ICIG (1) 2019: 689-701 - [c108]Jian-Hui Chen, Zuo-Ren Wang, Cheng-Lin Liu:
Accelerating Bag-of-Words with SOM. ICONIP (3) 2019: 573-584 - [c107]Yuan-Xing Zhao, Yan-Ming Zhang, Ming Song, Cheng-Lin Liu:
Multi-view Semi-supervised 3D Whole Brain Segmentation with a Self-ensemble Network. MICCAI (3) 2019: 256-265 - [i3]Xiaobing Wang, Yingying Jiang, Zhenbo Luo, Cheng-Lin Liu, Hyunsoo Choi, Sungjin Kim:
Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation. CoRR abs/1905.05980 (2019) - 2018
- [j68]Cheng-Lin Liu, Jian Yang:
Guest Editorial. CAAI Trans. Intell. Technol. 3(3): 131-132 (2018) - [j67]Cheng-Lin Liu, Gernot A. Fink, Venu Govindaraju, Lianwen Jin:
Special issue on deep learning for document analysis and recognition. Int. J. Document Anal. Recognit. 21(3): 159-160 (2018) - [j66]Liang Shan, Cheng-Lin Liu:
Average-consensus tracking of multi-agent systems with additional interconnecting agents. J. Frankl. Inst. 355(17): 8957-8970 (2018) - [j65]Cheng-Lin Liu, Fei Liu:
Consensus seeking of delayed high-order multi-agent systems with predictor-based algorithm. Kybernetika 54(2): 304-320 (2018) - [c106]Tie-Qiang Wang, Cheng-Lin Liu:
Fully Convolutional Network Based Skeletonization for Handwritten Chinese Characters. AAAI 2018: 2540-2547 - [c105]Hang Tian, Cheng-Lin Liu, Guang-Ye Liu:
Bipartite Consensus Problem of Second-order Multi-agent Systems with Disturbances. ICARCV 2018: 609-614 - [c104]Tie-Qiang Wang, Cheng-Lin Liu:
DeepAD: A Deep Learning Based Approach to Stroke-Level Abnormality Detection in Handwritten Chinese Character Recognition. ICDM 2018: 1302-1307 - [c103]Mao-Dong Xia, Cheng-Lin Liu, Fei Liu:
Formation-containment Control of Second-order Multi-agent Systems with Sampled Data and Intermittent Communication. ICIA 2018: 1204-1209 - [c102]Chenglin Liu, Tianlong Bao, Ming Zhu:
Part-based Feature Extraction for Person Re-identification. ICMLC 2018: 172-177 - [c101]Chu Wang, Yan-Ming Zhang, Cheng-Lin Liu:
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks. ICPR 2018: 1121-1126 - [c100]Yao Tang, Zhenjuan Qiao, Rui Zou, Xueming Qiao, Chenglin Liu, Yiliang Wang:
Research on Monitoring Methods for Electricity Hall Staff Based on Autonomous Updating and Semi-supervising Model. ICPCSEE (2) 2018: 359-376 - [e11]Jinchang Ren, Amir Hussain, Jiangbin Zheng, Cheng-Lin Liu, Bin Luo, Huimin Zhao, Xinbo Zhao:
Advances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Xi'an, China, July 7-8, 2018, Proceedings. Lecture Notes in Computer Science 10989, Springer 2018, ISBN 978-3-030-00562-7 [contents] - [e10]Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha:
Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11256, Springer 2018, ISBN 978-3-030-03397-2 [contents] - [e9]Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha:
Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11257, Springer 2018, ISBN 978-3-030-03334-7 [contents] - [e8]Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha:
Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11258, Springer 2018, ISBN 978-3-030-03337-8 [contents] - [e7]Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha:
Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part IV. Lecture Notes in Computer Science 11259, Springer 2018, ISBN 978-3-030-03340-8 [contents] - [i2]Chu Wang, Yan-Ming Zhang, Cheng-Lin Liu:
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks. CoRR abs/1808.00200 (2018) - 2017
- [j64]Chenglin Liu, Yu-Hang Zhang, Tao Huang, Yudong Cai:
Identification of transcription factors that may reprogram lung adenocarcinoma. Artif. Intell. Medicine 83: 52-57 (2017) - [j63]Heng Zhang, Xiang-Dong Zhou, Cheng-Lin Liu:
Keyword spotting in handwritten chinese documents using semi-markov conditional random fields. Eng. Appl. Artif. Intell. 58: 49-61 (2017) - [j62]Xueyun Chen, Ren-Xi Gong, Ling-Ling Xie, Shiming Xiang, Cheng-Lin Liu, Chunhong Pan:
Building Regional Covariance Descriptors for Vehicle Detection. IEEE Geosci. Remote. Sens. Lett. 14(4): 524-528 (2017) - [j61]Cheng-Lin Liu, Bin Luo, Walter G. Kropatsch:
Special issue "Advances in graph-based pattern recognition". Pattern Recognit. Lett. 87: 1-3 (2017) - [c99]Wujiahemaiti Simayi, Askar Hamdulla, Cheng-Lin Liu:
Holistic Handwritten Uyghur Word Recognition Using Convolutional Neural Networks. ACPR 2017: 846-851 - [c98]Yi Shi, Yanyan Yin, Cheng-Lin Liu, Fei Liu:
Distributed leader-following consensus of a class of nonlinear multi-agent systems. ASCC 2017: 741-744 - [c97]Mao-Dong Xia, Cheng-Lin Liu, Fei Liu:
Formation-containment control of second-order multi-agent systems with time delays. ASCC 2017: 2387-2392 - [c96]Cheng-Lin Liu, Xiaohua Wang:
Studies on the micro-structure of bone with phase contrast CT imaging based on synchrotron radiation. CISP-BMEI 2017: 1-6 - [c95]Xin Dai, Cheng-Lin Liu, Fei Liu:
Consensus protocol based on distributed model predictive control for first-order multi-agent systems. ICCA 2017: 982-987 - [e6]Pasquale Foggia, Cheng-Lin Liu, Mario Vento:
Graph-Based Representations in Pattern Recognition - 11th IAPR-TC-15 International Workshop, GbRPR 2017, Anacapri, Italy, May 16-18, 2017, Proceedings. Lecture Notes in Computer Science 10310, 2017, ISBN 978-3-319-58960-2 [contents] - [i1]Zhao Zhong, Junjie Yan, Cheng-Lin Liu:
Practical Network Blocks Design with Q-Learning. CoRR abs/1708.05552 (2017) - 2016
- [j60]Cheng-Lin Liu, Brian C. Lovell, Dacheng Tao, Massimo Tistarelli:
Pattern Recognition, Part 1 [Guest editors' introduction]. IEEE Intell. Syst. 31(2): 6-8 (2016) - [j59]Cheng-Lin Liu, Brian C. Lovell, Dacheng Tao, Massimo Tistarelli:
Pattern Recognition, Part 2. IEEE Intell. Syst. 31(3): 3-5 (2016) - [j58]Peng Wang, Bo Xu, Jiaming Xu, Guanhua Tian, Cheng-Lin Liu, Hongwei Hao:
Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification. Neurocomputing 174: 806-814 (2016) - [j57]Yunsheng Jiang, Chenglin Liu, Jinwen Ma:
BYY harmony learning of t-mixtures with the application to image segmentation based on contourlet texture features. Neurocomputing 188: 262-274 (2016) - [j56]Xu-Cheng Yin, Ze-Yu Zuo, Shu Tian, Cheng-Lin Liu:
Text Detection, Tracking and Recognition in Video: A Comprehensive Survey. IEEE Trans. Image Process. 25(6): 2752-2773 (2016) - [c94]Cheng-Lin Liu, Fei Liu:
Consensus problem of general linear first-order multi-agent network under communication delay. ACC 2016: 4452-4457 - [c93]Kai Chen, Cheng-Lin Liu, Mathias Seuret, Marcus Liwicki, Jean Hennebert, Rolf Ingold:
Page Segmentation for Historical Document Images Based on Superpixel Classification with Unsupervised Feature Learning. DAS 2016: 299-304 - [c92]Jing Luo, Cheng-Lin Liu, Fei Liu:
Distributed consensus analysis for a class of heterogeneous multi-agent systems composed of first-order and fourth-order integrators. ICCA 2016: 565-570 - [c91]Kai Chen, Mathias Seuret, Marcus Liwicki, Jean Hennebert, Cheng-Lin Liu, Rolf Ingold:
Page Segmentation for Historical Handwritten Document Images Using Conditional Random Fields. ICFHR 2016: 90-95 - [c90]Jie Yang, Xinwei Jiang, Chunhong Pan, Cheng-Lin Liu:
Enhancement of Low Light Level Images with coupled dictionary learning. ICPR 2016: 751-756 - [c89]Jun-Yu Ye, Yan-Ming Zhang, Cheng-Lin Liu:
Joint training of conditional random fields and neural networks for stroke classification in online handwritten documents. ICPR 2016: 3264-3269 - [e5]Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang:
Advances in Brain Inspired Cognitive Systems - 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings. Lecture Notes in Computer Science 10023, 2016, ISBN 978-3-319-49684-9 [contents] - 2015
- [j55]Hong-Mei Zhang, Shuzhen Kuang, Xushen Xiong, Tianliuyun Gao, Chenglin Liu, An-Yuan Guo:
Transcription factor and microRNA co-regulatory loops: important regulatory motifs in biological processes and diseases. Briefings Bioinform. 16(1): 45-58 (2015) - [j54]Cheng-Lin Liu, Fei Liu:
Delayed-Compensation Algorithm for Second-Order Leader-Following Consensus Seeking under Communication Delay. Entropy 17(6): 3752-3765 (2015) - [j53]Xueyun Chen, Shiming Xiang, Cheng-Lin Liu, Chunhong Pan:
Aircraft Detection by Deep Convolutional Neural Networks. IPSJ Trans. Comput. Vis. Appl. 7: 10-17 (2015) - [j52]Cheng-Lin Liu, Fei Liu:
Collective behavior of mixed-order linear multi-agent systems under output-coupled consensus algorithm. J. Frankl. Inst. 352(9): 3585-3599 (2015) - [j51]Zhao Zhang, Cheng-Lin Liu, Ming-Bo Zhao:
A Sparse Projection and Low-Rank Recovery Framework for Handwriting Representation and Salient Stroke Feature Extraction. ACM Trans. Intell. Syst. Technol. 6(1): 9:1-9:26 (2015) - [c88]Peng Wang, Jiaming Xu, Bo Xu, Cheng-Lin Liu, Heng Zhang, Fangyuan Wang, Hongwei Hao:
Semantic Clustering and Convolutional Neural Network for Short Text Categorization. ACL (2) 2015: 352-357 - [c87]Cheng-Lin Liu, Fei Liu:
Consensus problem of high-order multi-agent systems under predictor-based algorithm. ASCC 2015: 1-6 - [c86]Cheng-Lin Liu, Xiaohua Wang, Xu Hua, Dongming Zhang, Xingyi Zhang:
The phasel-contrast CT imaging and X-ray fluorescence analysis of Zusanli acupuncture point (ST 36) based on synchrotron radiation. BMEI 2015: 240-244 - [c85]Cheng-Lin Liu:
Predictor-based synchronization algorithms for multiple harmonic oscillators with communication delay. ICIA 2015: 1003-1008 - [c84]Jing Luo, Cheng-Lin Liu, Fei Liu:
A leader-following formation control of multiple mobile robots with obstacle. ICIA 2015: 2153-2158 - [c83]Xiang-Jun Li, Cheng-Lin Liu, Fei Liu:
Coupled-group consensus seeking for second-order multi-agent systems with communication delay. ICIA 2015: 2541-2546 - [c82]Peng Wang, Jiaming Xu, Bo Xu, Cheng-Lin Liu, Hongwei Hao:
A Convolutional Architecture for Short Text Expansion and Classification. WI-IAT (1) 2015: 75-78 - [e4]Cheng-Lin Liu, Bin Luo, Walter G. Kropatsch, Jian Cheng:
Graph-Based Representations in Pattern Recognition - 10th IAPR-TC-15 International Workshop, GbRPR 2015, Beijing, China, May 13-15, 2015. Proceedings. Lecture Notes in Computer Science 9069, Springer 2015, ISBN 978-3-319-18223-0 [contents] - 2014
- [j50]Ping-Ping Dai, Cheng-Lin Liu, Fei Liu:
Consensus Problem of Heterogeneous Multi-agent Systems with Time Delay under Fixed and Switching Topologies. Int. J. Autom. Comput. 11(3): 340-346 (2014) - [j49]Da-Han Wang, Cheng-Lin Liu:
Learning confidence transformation for handwritten Chinese text recognition. Int. J. Document Anal. Recognit. 17(3): 205-219 (2014) - [j48]Adrien Delaye, Cheng-Lin Liu:
Multi-class segmentation of free-form online documents with tree conditional random fields. Int. J. Document Anal. Recognit. 17(4): 313-329 (2014) - [j47]Xueyun Chen, Shiming Xiang, Cheng-Lin Liu, Chunhong Pan:
Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks. IEEE Geosci. Remote. Sens. Lett. 11(10): 1797-1801 (2014) - [j46]Sebastiano Impedovo, Cheng-Lin Liu, Donato Impedovo, Giuseppe Pirlo:
"Special Issue on Handwriting recognition and other PR applications". Pattern Recognit. 47(3): 915 (2014) - [j45]Adrien Delaye, Cheng-Lin Liu:
Contextual text/non-text stroke classification in online handwritten notes with conditional random fields. Pattern Recognit. 47(3): 959-968 (2014) - [j44]Heng Zhang, Da-Han Wang, Cheng-Lin Liu:
Character confidence based on N-best list for keyword spotting in online Chinese handwritten documents. Pattern Recognit. 47(5): 1880-1890 (2014) - [j43]Xiang-Dong Zhou, Yan-Ming Zhang, Feng Tian, Hongan Wang, Cheng-Lin Liu:
Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition. Pattern Recognit. 47(5): 1904-1916 (2014) - [c81]Cheng-Lin Liu, Fei Wang, Xiaohua Wang, Fang Liu, Ruishan Dang, Dongming Zhang, Xinyi Zhang, Honglan Xie, Tiqiao Xiao:
The micro-structure of Shangjuxu acupoint (ST37) by X-ray phase-contrast CT imaging based on synchrotron radiation. BMEI 2014: 85-89 - [c80]Xiaolong Liu, Yanming Zhang, Cheng-Lin Liu:
A Nonlinear Classifier Based on Factorization Machines Model. CCPR (1) 2014: 1-10 - [c79]Chenglin Liu, Jinwen Ma:
Automatic Non-negative Matrix Factorization Clustering with Competitive Sparseness Constraints. ICIC (2) 2014: 118-125 - [c78]Chenglin Liu, Jinwen Ma:
Unsupervised Image Segmentation Based on Contourlet Texture Features and BYY Harmony Learning of t-Mixtures. ICIC (1) 2014: 495-501 - [c77]Peng Wang, Heng Zhang, Bo Xu, Cheng-Lin Liu, Hongwei Hao:
Short Text Feature Enrichment Using Link Analysis on Topic-Keyword Graph. NLPCC 2014: 79-90 - [e3]Shutao Li, Chenglin Liu, Yaonan Wang:
Pattern Recognition - 6th Chinese Conference, CCPR 2014, Changsha, China, November 17-19, 2014. Proceedings, Part I. Communications in Computer and Information Science 483, Springer 2014, ISBN 978-3-662-45645-3 [contents] - [e2]Shutao Li, Chenglin Liu, Yaonan Wang:
Pattern Recognition - 6th Chinese Conference, CCPR 2014, Changsha, China, November 17-19, 2014. Proceedings, Part II. Communications in Computer and Information Science 484, Springer 2014, ISBN 978-3-662-45642-2 [contents] - 2013
- [j42]Chenglin Liu, Jinwen Ma, Chung-Che Jeff Chang, Xiaobo Zhou:
FusionQ: a novel approach for gene fusion detection and quantification from paired-end RNA-Seq. BMC Bioinform. 14: 193 (2013) - [j41]Jiawen Bian, Chenglin Liu, Hongyan Wang, Jing Xing, Priyanka Kachroo, Xiaobo Zhou:
SNVHMM: predicting single nucleotide variants from next generation sequencing. BMC Bioinform. 14: 225 (2013) - [j40]Qiu-Feng Wang, Erik Cambria, Cheng-Lin Liu, Amir Hussain:
Common Sense Knowledge for Handwritten Chinese Text Recognition. Cogn. Comput. 5(2): 234-242 (2013) - [j39]Cheng-Lin Liu, Fei Liu:
Dynamical consensus seeking of heterogeneous multi-agent systems under input delays. Int. J. Commun. Syst. 26(10): 1243-1258 (2013) - [j38]Heng Wang, Alexander Kläser, Cordelia Schmid, Cheng-Lin Liu:
Dense Trajectories and Motion Boundary Descriptors for Action Recognition. Int. J. Comput. Vis. 103(1): 60-79 (2013) - [j37]Gyu-Ro Park, In-Jung Kim, Cheng-Lin Liu:
An evaluation of statistical methods in handwritten hangul recognition. Int. J. Document Anal. Recognit. 16(3): 273-283 (2013) - [j36]Heng Zhang, Da-Han Wang, Cheng-Lin Liu, Horst Bunke:
Keyword Spotting from Online Chinese Handwritten Documents using One-versus-All Character Classification Model. Int. J. Pattern Recognit. Artif. Intell. 27(3) (2013) - [j35]Jingnian Chen, Caiming Zhang, Xiaoping Xue, Cheng-Lin Liu:
Fast instance selection for speeding up support vector machines. Knowl. Based Syst. 45: 1-7 (2013) - [j34]Xiang-Dong Zhou, Da-Han Wang, Feng Tian, Cheng-Lin Liu, Masaki Nakagawa:
Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 35(10): 2413-2426 (2013) - [c76]Xueyun Chen, Shiming Xiang, Cheng-Lin Liu, Chunhong Pan:
Aircraft Detection by Deep Belief Nets. ACPR 2013: 54-58 - [c75]Xueyun Chen, Shiming Xiang, Cheng-Lin Liu, Chunhong Pan:
Vehicle Detection in Satellite Images by Parallel Deep Convolutional Neural Networks. ACPR 2013: 181-185 - [c74]Cheng-Lin Liu, Hua Xu, Xiaohua Wang, Dongming Zhang, Xinyi Zhang, Xudong Wu, Honglan Xie, Tiqiao Xiao:
Comparison of phase contrast CT images for different tumor tissues. BMEI 2013: 33-37 - [c73]Cheng-Lin Liu, Hua Xu, Xiaohua Wang, Dongming Zhang, Xinyi Zhang, Xudong Wu, Dongliang Chen, Wei Xu:
The content and distribution of trace elements in normal, benign and cancerous breast tissues. BMEI 2013: 172-176 - [c72]Adrien Delaye, Cheng-Lin Liu:
Context modeling for text/non-text separation in free-form online handwritten documents. DRR 2013: 86580C - [c71]Yao Lu, Horst Bunke, Cheng-Lin Liu:
An Algorithm for Maximum Common Subgraph of Planar Triangulation Graphs. GbRPR 2013: 162-171 - [c70]Yan-Fei Lv, Linlin Huang, Da-Han Wang, Cheng-Lin Liu:
Learning-Based Candidate Segmentation Scoring for Real-Time Recognition of Online Overlaid Chinese Handwriting. ICDAR 2013: 74-78 - [c69]Heng Zhang, Xiang-Dong Zhou, Cheng-Lin Liu:
Keyword Spotting in Online Chinese Handwritten Documents with Candidate Scoring Based on Semi-CRF Model. ICDAR 2013: 567-571 - [c68]Xiang-Dong Zhou, Feng Tian, Cheng-Lin Liu, Hongan Wang:
Minimum Risk Training for Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields. ICDAR 2013: 940-944 - [c67]Adrien Delaye, Cheng-Lin Liu:
Graphics Extraction from Heterogeneous Online Documents with Hierarchical Random Fields. ICDAR 2013: 1007-1011 - [c66]Zhao Zhang, Cheng-Lin Liu, Ming-Bo Zhao:
Handwriting representation and recognition through a sparse projection and low-rank recovery framework. IJCNN 2013: 1-8 - 2012
- [j33]Da-Han Wang, Cheng-Lin Liu, Xiang-Dong Zhou:
An approach for real-time recognition of online Chinese handwritten sentences. Pattern Recognit. 45(10): 3661-3675 (2012) - [j32]Cheng-Lin Liu, Fei Liu:
Dynamical consensus seeking of second-order multi-agent systems based on delayed state compensation. Syst. Control. Lett. 61(12): 1235-1241 (2012) - [c65]Cheng-Lin Liu, Xiaohua Wang, Xinyi Zhang, Guobin Zhang:
Studies on vacuum ultraviolet spectra of breast tumor tissues. BMEI 2012: 601-604 - [c64]Adrien Delaye, Cheng-Lin Liu:
Text/Non-text Classification in Online Handwritten Documents with Conditional Random Fields. CCPR 2012: 514-521 - [c63]Zhong-Gai Zhao, Biao Huang, Cheng-Lin Liu:
A particle filter based on a constrained sampling method for state estimation. FUSION 2012: 816-823 - [c62]Heng Zhang, Da-Han Wang, Cheng-Lin Liu:
A confidence-based method for keyword spotting in online Chinese handwritten documents. ICPR 2012: 525-528 - [c61]Da-Han Wang, Cheng-Lin Liu:
String-level learning of confidence transformation for Chinese handwritten text recognition. ICPR 2012: 3208-3211 - [e1]Cheng-Lin Liu, Changshui Zhang, Liang Wang:
Pattern Recognition - Chinese Conference, CCPR 2012, Beijing, China, September 24-26, 2012. Proceedings. Communications in Computer and Information Science 321, Springer 2012, ISBN 978-3-642-33505-1 [contents] - 2011
- [j31]Cheng-Lin Liu, Fei Liu:
Stationary consensus of heterogeneous multi-agent systems with bounded communication delays. Autom. 47(9): 2130-2133 (2011) - [c60]Xiao-Hua Liu, Cheng-Lin Liu:
Discriminative model selection for Gaussian mixture models for classification. ACPR 2011: 62-66 - [c59]Jingnian Chen, Cheng-Lin Liu:
Instance selection for speeding up multi-class SVMs with neighborhoods. ACPR 2011: 264-268 - [c58]Cheng-Lin Liu, Xu Hua, Chen Changyuan:
X-ray phase contrast CT imaging of lung cancer tissue. BMEI 2011: 569-571 - [c57]Heng Wang, Alexander Kläser, Cordelia Schmid, Cheng-Lin Liu:
Action recognition by dense trajectories. CVPR 2011: 3169-3176 - [c56]Da-Han Wang, Cheng-Lin Liu:
Dynamic Text Line Segmentation for Real-Time Recognition of Chinese Handwritten Sentences. ICDAR 2011: 931-935 - [c55]Heng Zhang, Cheng-Lin Liu:
A Lattice-Based Method for Keyword Spotting in Online Chinese Handwriting. ICDAR 2011: 1064-1068 - [c54]Jingnian Chen, Cheng-Lin Liu:
Fast multi-class sample reduction for speeding up support vector machines. MLSP 2011: 1-6 - 2010
- [j30]Cheng-Lin Liu, Fei Liu:
Consensus Problem of Second-order Dynamic Agents with Heterogeneous Input and Communication Delays. Int. J. Comput. Commun. Control 5(3): 325-335 (2010) - [j29]Bilan Zhu, Xiang-Dong Zhou, Cheng-Lin Liu, Masaki Nakagawa:
A robust model for on-line handwritten japanese text recognition. Int. J. Document Anal. Recognit. 13(2): 121-131 (2010) - [c53]An Lu, Xin Hou, Chen Lin, Cheng-Lin Liu:
Insect Species Recognition using Sparse Representation. BMVC 2010: 1-10 - [c52]Tong-Hua Su, Cheng-Lin Liu:
Improving HMM-Based Chinese Handwriting Recognition Using Delta Features and Synthesized String Samples. ICFHR 2010: 78-83 - [c51]Heng Zhang, Da-Han Wang, Cheng-Lin Liu:
Keyword Spotting from Online Chinese Handwritten Documents Using One-vs-All Trained Character Classifier. ICFHR 2010: 271-276 - [c50]Xiang-Dong Zhou, Da-Han Wang, Masaki Nakagawa, Cheng-Lin Liu:
Error Reduction by Confusing Characters Discrimination for Online Handwritten Japanese Character Recognition. ICFHR 2010: 495-500 - [c49]Long-Long Ma, Adrien Delaye, Cheng-Lin Liu:
Special Radical Detection by Statistical Classification for On-line Handwritten Chinese Character Recognition. ICFHR 2010: 501-506 - [c48]Xiao-Hua Liu, Cheng-Lin Liu:
Discriminative Training of Subspace Gaussian Mixture Model for Pattern Classification. ICIC (1) 2010: 213-221 - [c47]Cheng-Lin Liu:
One-Vs-All Training of Prototype Classifier for Pattern Classification and Retrieval. ICPR 2010: 3328-3331
2000 – 2009
- 2009
- [j28]Yu-Ping Tian, Cheng-Lin Liu:
Robust consensus of multi-agent systems with diverse input delays and asymmetric interconnection perturbations. Autom. 45(5): 1347-1353 (2009) - [j27]Cheng-Lin Liu, Yu-Ping Tian:
Formation control of multi-agent systems with heterogeneous communication delays. Int. J. Syst. Sci. 40(6): 627-636 (2009) - [j26]Xiang-Dong Zhou, Da-Han Wang, Cheng-Lin Liu:
A robust approach to text line grouping in online handwritten Japanese documents. Pattern Recognit. 42(9): 2077-2088 (2009) - [j25]Cheng-Lin Liu, Ching Y. Suen:
A new benchmark on the recognition of handwritten Bangla and Farsi numeral characters. Pattern Recognit. 42(12): 3287-3295 (2009) - [c46]Bilan Zhu, Xiang-Dong Zhou, Cheng-Lin Liu, Masaki Nakagawa:
A Robust Model for On-line Handwritten Japanese Text Recognition. DRR 2009: 72470B - [c45]Bilan Zhu, Xiang-Dong Zhou, Cheng-Lin Liu, Masaki Nakagawa:
Effect of Improved Path Evaluation for On-line Handwritten Japanese Text Recognition. ICDAR 2009: 516-520 - [c44]Xiang-Dong Zhou, Cheng-Lin Liu, Masaki Nakagawa:
Online Handwritten Japanese Character String Recognition Using Conditional Random Fields. ICDAR 2009: 521-525 - [c43]Da-Han Wang, Cheng-Lin Liu, Jin-Lun Yu, Xiang-Dong Zhou:
CASIA-OLHWDB1: A Database of Online Handwritten Chinese Characters. ICDAR 2009: 1206-1210 - 2008
- [j24]Cheng-Lin Liu:
Partial discriminative training for classification of overlapping classes in document analysis. Int. J. Document Anal. Recognit. 11(2): 53-65 (2008) - [j23]Tian-Fu Gao, Cheng-Lin Liu:
High accuracy handwritten Chinese character recognition using LDA-based compound distances. Pattern Recognit. 41(11): 3442-3451 (2008) - [j22]Yu-Ping Tian, Cheng-Lin Liu:
Consensus of Multi-Agent Systems With Diverse Input and Communication Delays. IEEE Trans. Autom. Control. 53(9): 2122-2128 (2008) - [c42]Cheng-Lin Liu:
Partial Discriminative Training of Neural Networks for Classification of Overlapping Classes. ANNPR 2008: 137-146 - [c41]Xiang-Dong Zhou, Da-Han Wang, Cheng-Lin Liu:
Grouping Text Lines in Online Handwritten Japanese Documents by Combining Temporal and Spatial Information. Document Analysis Systems 2008: 61-68 - [c40]Cyril Cassisa, Véronique Prinet, Liang Shao, Serge Simoens, Cheng-Lin Liu:
Optical flow robust estimation in a hybrid multi-resolution MRF framework. ICASSP 2008: 793-796 - [c39]Tian-Fu Gao, Cheng-Lin Liu:
Combining quadratic classifier and pair discriminators by pairwise coupling for handwritten Chinese character recognition. ICPR 2008: 1-4 - [c38]Long-Long Ma, Cheng-Lin Liu:
A new radical-based approach to online handwritten Chinese character recognition. ICPR 2008: 1-4 - [c37]Tong-Hua Su, Tianwen Zhang, Hu-Jie Huang, Cheng-Lin Liu:
Segmentation-free recognizer based on enhanced four plane feature for realistic Chinese handwriting. ICPR 2008: 1-4 - [c36]Chenglin Liu, Jianjun Wu:
Crop Drought Monitoring using MODIS NDDI over Mid-Territory of China. IGARSS (3) 2008: 883-886 - [p1]Cheng-Lin Liu, Hiromichi Fujisawa:
Classification and Learning Methods for Character Recognition: Advances and Remaining Problems. Machine Learning in Document Analysis and Recognition 2008: 139-161 - 2007
- [j21]Ruwei Dai, Chenglin Liu, Baihua Xiao:
Chinese character recognition: history, status and prospects. Frontiers Comput. Sci. China 1(2): 126-136 (2007) - [j20]Cheng-Lin Liu:
Normalization-Cooperated Gradient Feature Extraction for Handwritten Character Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 29(8): 1465-1469 (2007) - [c35]Srinivas Andra, George Nagy, Cheng-Lin Liu, Ilya Zavorin, Eugene Borovikov, Anna Borovikov, Luis Hernández, Kristen Maria Summers, Mark Turner:
Frequency coding: an effective method for combining dichotomizers. DRR 2007: 650004 - [c34]Xiang-Dong Zhou, Jin-Lun Yu, Cheng-Lin Liu, Takeshi Nagasaki, Katsumi Marukawa:
Online Handwritten Japanese Character String Recognition Incorporating Geometric Context. ICDAR 2007: 48-52 - [c33]Xiang-Dong Zhou, Cheng-Lin Liu, Solen Quiniou, Éric Anquetil:
Text/Non-text Ink Stroke Classification in Japanese Handwriting Based on Markov Random Fields. ICDAR 2007: 377-381 - [c32]Tian-Fu Gao, Cheng-Lin Liu:
LDA-Based Compound Distance for Handwritten Chinese Character Recognition. ICDAR 2007: 904-908 - 2006
- [j19]Cheng-Lin Liu, Hiroshi Sako:
Class-specific feature polynomial classifier for pattern classification and its application to handwritten numeral recognition. Pattern Recognit. 39(4): 669-681 (2006) - [c31]Cheng-Lin Liu:
High Accuracy Handwritten Chinese Character Recognition Using Quadratic Classifiers with Discriminative Feature Extraction. ICPR (2) 2006: 942-945 - [c30]Cheng-Lin Liu:
Handwritten Chinese Character Recognition: Effects of Shape Normalization and Feature Extraction. SACH 2006: 104-128 - [c29]Cheng-Lin Liu:
Polynomial Network Classifier with Discriminative Feature Extraction. SSPR/SPR 2006: 732-740 - 2005
- [j18]Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa:
Handwritten Numeral String Recognition: Effects of Character Normalization and Feature Extraction. IEICE Trans. Inf. Syst. 88-D(8): 1791-1798 (2005) - [j17]Cheng-Lin Liu:
Classifier combination based on confidence transformation. Pattern Recognit. 38(1): 11-28 (2005) - [j16]Cheng-Lin Liu, Katsumi Marukawa:
Pseudo two-dimensional shape normalization methods for handwritten Chinese character recognition. Pattern Recognit. 38(12): 2242-2255 (2005) - [c28]Cheng-Lin Liu, Masashi Koga, Hiromichi Fujisawa:
Gabor Feature Extraction for Character Recognition: Comparison with Gradient Feature. ICDAR 2005: 121-125 - [c27]Cheng-Lin Liu, Ryuji Mine, Masashi Koga:
Building Compact Classifier for Large Character Set Recognition Using Discriminative Feature Extraction. ICDAR 2005: 846-850 - 2004
- [j15]Cheng-Lin Liu, Hongwei Hao, Hiroshi Sako:
Confidence Transformation for Combining Classifiers. Pattern Anal. Appl. 7(1): 2-17 (2004) - [j14]Cheng-Lin Liu, Stefan Jäger, Masaki Nakagawa:
Online Recognition of Chinese Characters: The State-of-the-Art. IEEE Trans. Pattern Anal. Mach. Intell. 26(2): 198-213 (2004) - [j13]Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa:
Effects of Classifier Structures and Training Regimes on Integrated Segmentation and Recognition of Handwritten Numeral Strings. IEEE Trans. Pattern Anal. Mach. Intell. 26(11): 1395-1407 (2004) - [j12]Cheng-Lin Liu, Kazuki Nakashima, Hiroshi Sako, Hiromichi Fujisawa:
Handwritten digit recognition: investigation of normalization and feature extraction techniques. Pattern Recognit. 37(2): 265-279 (2004) - [j11]Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa:
Discriminative learning quadratic discriminant function for handwriting recognition. IEEE Trans. Neural Networks 15(2): 430-444 (2004) - [c26]Cheng-Lin Liu, Katsumi Marukawa:
Normalization ensemble for handwritten character recognition. IWFHR 2004: 69-74 - [c25]Cheng-Lin Liu, Katsumi Marukawa:
Global shape normalization for handwritten Chinese character recognition: a new method. IWFHR 2004: 300-305 - [c24]Cheng-Lin Liu, Katsumi Marukawa:
Handwritten Numeral String Recognition: Character-Level vs. String-Level Classifier Training. ICPR (1) 2004: 405-408 - [c23]Chenglin Liu, Bingfang Wu, Yichen Tian, Wenbo Xu, Jianxi Huang:
Crop drought monitoring using serial NDVI & NDWI in Northern China. IGARSS 2004: 2264-2267 - 2003
- [j10]Stefan Jäger, Cheng-Lin Liu, Masaki Nakagawa:
The state of the art in Japanese online handwriting recognition compared to techniques in western handwriting recognition. Int. J. Document Anal. Recognit. 6(2): 75-88 (2003) - [j9]Cheng-Lin Liu, Kazuki Nakashima, Hiroshi Sako, Hiromichi Fujisawa:
Handwritten digit recognition: benchmarking of state-of-the-art techniques. Pattern Recognit. 36(10): 2271-2285 (2003) - [c22]Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa:
Handwritten Chinese Character Recognition: Alternatives to Nonlinear Normalization. ICDAR 2003: 524-528 - [c21]Hongwei Hao, Cheng-Lin Liu, Hiroshi Sako:
Confidence Evaluation for Combining Diverse Classifiers. ICDAR 2003: 760-764 - [c20]Hongwei Hao, Cheng-Lin Liu, Hiroshi Sako:
Comparison of Genetic Algorithm and Sequential Search Methods for Classifier Subset Selection. ICDAR 2003: 765-769 - [c19]Hiromichi Fujisawa, Cheng-Lin Liu:
Directional Pattern Matching for Character Recognition Revisited. ICDAR 2003: 794-798 - [c18]Feng Zhang, Bingfang Wu, Chenglin Liu:
Using time series of SPOT VGT NDVI for crop yield forecasting. IGARSS 2003: 386-388 - [c17]Feng Zhang, Bingfang Wu, Chenglin Liu:
An advanced tool for real-time crop monitoring in China. IGARSS 2003: 2242-2244 - [c16]Chenglin Liu, Binfang Wu, Feng Zhang:
Assimilation of VGT and AVHRR NDVI data to build long series dataset. IGARSS 2003: 3577-3579 - 2002
- [j8]Hiromichi Fujisawa, Jin Hyung Kim, Cheng-Lin Liu:
Guest Editors' Introduction. Int. J. Comput. Process. Orient. Lang. 15(2): 115-116 (2002) - [j7]Ondrej Velek, Masaki Nakagawa, Cheng-Lin Liu:
Vector-to-Image Transformation of Character Patterns for On-line and Off-line Recognition. Int. J. Comput. Process. Orient. Lang. 15(2): 187-209 (2002) - [j6]Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa:
Performance evaluation of pattern classifiers for handwritten character recognition. Int. J. Document Anal. Recognit. 4(3): 191-204 (2002) - [j5]Cheng-Lin Liu, Masashi Koga, Hiromichi Fujisawa:
Lexicon-Driven Segmentation and Recognition of Handwritten Character Strings for Japanese Address Reading. IEEE Trans. Pattern Anal. Mach. Intell. 24(11): 1425-1437 (2002) - [c15]Sriharsha Veeramachaneni, Hiromichi Fujisawa, Cheng-Lin Liu, George Nagy:
Classifying isogenous fields. IWFHR 2002: 41-46 - [c14]Stefan Jäger, Masaki Nakagawa, Cheng-Lin Liu:
Comparing on-line recognition of Japanese and western script in preparation for recognizing multi-language documents. IWFHR 2002: 84-89 - [c13]Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa:
Integrated segmentation and recognition of handwritten numerals: comparison of classification algorithms. IWFHR 2002: 303-308 - [c12]Cheng-Lin Liu, Kazuki Nakashima, Hiroshi Sako, Hiromichi Fujisawa:
Handwritten digit recognition using state-of-the-art techniques. IWFHR 2002: 320-325 - [c11]Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa:
Learning Quadratic Discriminant Function for Handwritten Character Classification. ICPR (4) 2002: 44-47 - [c10]Sriharsha Veeramachaneni, Hiromichi Fujisawa, Cheng-Lin Liu, George Nagy:
Style-Conscious Quadratic Field Classifier. ICPR (2) 2002: 72-75 - [c9]Ondrej Velek, Cheng-Lin Liu, Stefan Jäger, Masaki Nakagawa:
An Improved Approach to Generating Realistic Kanji Character Images from On-Line Characters and its Benefit to Off-Line Recognition Performance. ICPR (1) 2002: 588- - 2001
- [j4]Cheng-Lin Liu, Masaki Nakagawa:
Evaluation of prototype learning algorithms for nearest-neighbor classifier in application to handwritten character recognition. Pattern Recognit. 34(3): 601-615 (2001) - [j3]Cheng-Lin Liu, In-Jung Kim, Jin Hyung Kim:
Model-based stroke extraction and matching for handwritten Chinese character recognition. Pattern Recognit. 34(12): 2339-2352 (2001) - [c8]Ondrej Velek, Masaki Nakagawa, Cheng-Lin Liu:
Generating Realistic Kanji Character Images from On-Line Patterns. ICDAR 2001: 556-560 - [c7]Cheng-Lin Liu, Masashi Koga, Hiromichi Fujisawa:
Lexicon-Driven Handwritten Character String Recognition for Japanese Address Reading. ICDAR 2001: 877-881 - 2000
- [j2]Cheng-Lin Liu, Masaki Nakagawa:
Precise Candidate Selection for Large Character Set Recognition by Confidence Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 22(6): 636-642 (2000) - [c6]Cheng-Lin Liu, Masashi Koga, Hiroshi Sako, Hiromichi Fujisawa:
Aspect Ratio Adaptive Normalization for Handwritten Character Recognition. ICMI 2000: 418-425
1990 – 1999
- 1999
- [c5]Cheng-Lin Liu, Masaki Nakagawa:
Handwritten Numeral Recognition using Neural Networks: Improving the Accuracy by Discriminative Training. ICDAR 1999: 257-260 - [c4]Cheng-Lin Liu, Masaki Nakagawa:
Prototype Learning Algorithms for Nearest Neighbor Classifier with Application to Handwritten Character Recognition. ICDAR 1999: 378-381 - [c3]In-Jung Kim, Jin Hyung Kim, Cheng-Lin Liu:
Stroke-guided Pixel Matching for Handwritten Chinese Character Recognition. ICDAR 1999: 665-668 - 1997
- [j1]Cheng-Lin Liu, Jin Hyung Kim, Ru-Wei Dai:
Multiresolution locally expanded HONN for handwritten numeral recognition. Pattern Recognit. Lett. 18(10): 1019-1025 (1997) - [c2]Cheng-Lin Liu, In-Jung Kim, Jin Hyung Kim:
High Accuracy Handwritten Chinese Character Recognition by Improved Feature Matching Method. ICDAR 1997: 1033-1037 - 1995
- [c1]Cheng-Lin Liu, Ru-Wei Dai, Ying-Jian Liu:
Extracting individual features from moments for Chinese writer identification. ICDAR 1995: 438-441
Coauthor Index
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