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ORCIDEdward Y. Chang
张智威
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- unicode name: 张智威
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2020 – today
- 2024
[c146]Edward Y. Chang:
Behavioral Emotion Analysis Model for Large Language Models. MIPR 2024: 549-556- [i24]Edward Y. Chang:
SocraSynth: Multi-LLM Reasoning with Conditional Statistics. CoRR abs/2402.06634 (2024) - [i23]Edward Y. Chang:
Modeling Emotions and Ethics with Large Language Models. CoRR abs/2404.13071 (2024) - [i22]Edward Y. Chang:
Integrating Emotional and Linguistic Models for Ethical Compliance in Large Language Models. CoRR abs/2405.07076 (2024) - [i21]Edward Y. Chang:
Ensuring Ground Truth Accuracy in Healthcare with the EVINCE framework. CoRR abs/2405.15808 (2024) - [i20]Edward Y. Chang:
Uncovering Biases with Reflective Large Language Models. CoRR abs/2408.13464 (2024) - [i19]Edward Y. Chang:
EVINCE: Optimizing Adversarial LLM Dialogues via Conditional Statistics and Information Theory. CoRR abs/2408.14575 (2024) - [i18]Edward Y. Chang:
Unlocking the Wisdom of Large Language Models: An Introduction to The Path to Artificial General Intelligence. CoRR abs/2409.01007 (2024) - 2023
- [c145]Edward Y. Chang:
Prompting Large Language Models With the Socratic Method. CCWC 2023: 351-360 - [i17]Edward Y. Chang:
Prompting Large Language Models With the Socratic Method. CoRR abs/2303.08769 (2023) - [i16]Edward Y. Chang:
CoCoMo: Computational Consciousness Modeling for Generative and Ethical AI. CoRR abs/2304.02438 (2023) - 2022
- [i15]Edward Y. Chang:
Knowledge-Guided Data-Centric AI in Healthcare: Progress, Shortcomings, and Future Directions. CoRR abs/2212.13591 (2022) - 2020
- [i14]Wei-Kang Fu, Yi-Shan Lin, Giovanni Campagna, De-Yi Tsai, Chun-Ting Liu, Chung-Huan Mei, Edward Y. Chang, Monica S. Lam, Shih-Wei Liao:
Soteria: A Provably Compliant User Right Manager Using a Novel Two-Layer Blockchain Technology. CoRR abs/2003.10128 (2020) - [i13]Chih-Yang Chen, Che-Han Chang, Edward Y. Chang:
Hypernetwork-Based Augmentation. CoRR abs/2006.06320 (2020)
2010 – 2019
- 2019
- [c144]Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang:
EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks. AAAI 2019: 3337-3346 - [c143]Yu-Hsun Lin
, Chun-Nan Chou, Edward Y. Chang:
MBS: Macroblock Scaling for CNN Model Reduction. CVPR 2019: 9117-9125 - [c142]Yu-Jing Lin, Po-Wei Wu, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao:
RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes. ICCV 2019: 5913-5921 - [c141]Fu-Chieh Chang, Jocelyn Chang, Chun-Nan Chou, Edward Y. Chang:
Toward Fusing Domain Knowledge with Generative Adversarial Networks to Improve Supervised Learning for Medical Diagnoses. MIPR 2019: 77-84 - [i12]Che-Han Chang, Chun-Hsien Yu, Szu-Ying Chen, Edward Y. Chang:
KG-GAN: Knowledge-Guided Generative Adversarial Networks. CoRR abs/1905.12261 (2019) - [i11]Fu-Chieh Chang, Hao-Jen Wang, Chun-Nan Chou, Edward Y. Chang:
G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data. CoRR abs/1905.12313 (2019) - [i10]Yang-En Chen, Kai-Fu Tang, Yu-Shao Peng, Edward Y. Chang:
Effective Medical Test Suggestions Using Deep Reinforcement Learning. CoRR abs/1905.12916 (2019) - [i9]Po-Wei Wu, Yu-Jing Lin, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao:
RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes. CoRR abs/1908.07269 (2019) - 2018
- [j41]Pan Zhou, Cong Fang, Zhouchen Lin, Chao Zhang, Edward Y. Chang:
Dictionary learning with structured noise. Neurocomputing 273: 414-423 (2018) - [j40]Wayne Xin Zhao, Ningnan Zhou, Aixin Sun, Ji-Rong Wen, Jialong Han, Edward Y. Chang:
A time-aware trajectory embedding model for next-location recommendation. Knowl. Inf. Syst. 56(3): 559-579 (2018) - [j39]Wayne Xin Zhao, Feifan Fan, Ji-Rong Wen, Edward Y. Chang:
Joint Representation Learning for Location-Based Social Networks with Multi-Grained Sequential Contexts. ACM Trans. Knowl. Discov. Data 12(2): 22:1-22:21 (2018) - [c140]Hao-Cheng Kao, Kai-Fu Tang, Edward Y. Chang:
Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning. AAAI 2018: 2305-2313 - [c139]Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang:
BRIEF: Backward Reduction of CNNs with Information Flow Analysis. AIVR 2018: 44-52 - [c138]Edward Y. Chang, Shih-Wei Liao, Chun-Ting Liu, Wei-Chen Lin, Pin-Wei Liao, Wei-Kang Fu, Chung-Huan Mei, Emily J. Chang:
DeepLinQ: Distributed Multi-Layer Ledgers for Privacy-Preserving Data Sharing. AIVR 2018: 173-178 - [c137]Yu-Shao Peng, Kai-Fu Tang, Hsuan-Tien Lin, Edward Y. Chang:
REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis. NeurIPS 2018: 7333-7342 - [c136]Jin Huang, Wayne Xin Zhao, Hongjian Dou, Ji-Rong Wen, Edward Y. Chang:
Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks. SIGIR 2018: 505-514 - [r2]Edward Y. Chang:
Semantic Modeling and Knowledge Representation for Multimedia Data. Encyclopedia of Database Systems (2nd ed.) 2018 - [i8]Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang:
BDA-PCH: Block-Diagonal Approximation of Positive-Curvature Hessian for Training Neural Networks. CoRR abs/1802.06502 (2018) - [i7]Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang:
Backward Reduction of CNN Models with Information Flow Analysis. CoRR abs/1807.05726 (2018) - [i6]Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang:
MBS: Macroblock Scaling for CNN Model Reduction. CoRR abs/1809.06569 (2018) - 2017
- [j38]Feifan Fan, Wayne Xin Zhao, Ji-Rong Wen, Ge Xu, Edward Y. Chang:
Mining collective knowledge: inferring functional labels from online review for business. Knowl. Inf. Syst. 53(3): 723-747 (2017) - [j37]Cheng Yang, Maosong Sun, Wayne Xin Zhao, Zhiyuan Liu, Edward Y. Chang:
A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories. ACM Trans. Inf. Syst. 35(4): 36:1-36:28 (2017) - [c135]Shang-Xuan Zou, Chun-Yen Chen, Jui-Lin Wu, Chun-Nan Chou, Chia-Chin Tsao, Kuan-Chieh Tung, Ting-Wei Lin, Cheng-Lung Sung, Edward Y. Chang:
Distributed Training Large-Scale Deep Architectures. ADMA 2017: 18-32 - [c134]Che-Han Chang, Chun-Nan Chou, Edward Y. Chang:
CLKN: Cascaded Lucas-Kanade Networks for Image Alignment. CVPR 2017: 3777-3785 - [c133]Edward Y. Chang, Meng-Hsi Wu, Kai-Fu Tang, Hao-Cheng Kao, Chun-Nan Chou:
Artificial Intelligence in XPRIZE DeepQ Tricorder. MMHealth@MM 2017: 11-18 - [c132]Meng-Hsi Wu, Edward Y. Chang:
DeepQ Arrhythmia Database: A Large-Scale Dataset for Arrhythmia Detector Evaluation. MMHealth@MM 2017: 77-80 - [c131]Zhongyang Zheng, Bo Wang, Yakun Wang, Shuang Yang, Zhongqian Dong, Tianyang Yi, Cyrus Choi, Emily J. Chang, Edward Y. Chang:
Aristo: An Augmented Reality Platform for Immersion and Interactivity. ACM Multimedia 2017: 690-698 - [c130]Edward Y. Chang:
DeepQ: Advancing Healthcare through Artificial Intelligence and Virtual Reality. ACM Multimedia 2017: 1068 - [i5]Chun-Nan Chou, Chuen-Kai Shie, Fu-Chieh Chang, Jocelyn Chang, Edward Y. Chang:
Representation Learning on Large and Small Data. CoRR abs/1707.09873 (2017) - [i4]Shang-Xuan Zou, Chun-Yen Chen, Jui-Lin Wu, Chun-Nan Chou, Chia-Chin Tsao, Kuan-Chieh Tung, Ting-Wei Lin, Cheng-Lung Sung, Edward Y. Chang:
Distributed Training Large-Scale Deep Architectures. CoRR abs/1709.06622 (2017) - 2016
- [j36]Wayne Xin Zhao, Jinpeng Wang, Yulan He, Ji-Rong Wen, Edward Y. Chang, Xiaoming Li:
Mining Product Adopter Information from Online Reviews for Improving Product Recommendation. ACM Trans. Knowl. Discov. Data 10(3): 29:1-29:23 (2016) - [j35]Wayne Xin Zhao, Sui Li, Yulan He, Edward Y. Chang, Ji-Rong Wen, Xiaoming Li:
Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information. IEEE Trans. Knowl. Data Eng. 28(5): 1147-1159 (2016) - [j34]Wayne Xin Zhao, Ningnan Zhou, Wenhui Zhang, Ji-Rong Wen, Shan Wang, Edward Y. Chang:
A Probabilistic Lifestyle-Based Trajectory Model for Social Strength Inference from Human Trajectory Data. ACM Trans. Inf. Syst. 35(1): 8:1-8:28 (2016) - [c129]Jin-ge Yao, Feifan Fan, Wayne Xin Zhao, Xiaojun Wan, Edward Y. Chang, Jianguo Xiao:
Tweet Timeline Generation with Determinantal Point Processes. AAAI 2016: 3080-3086 - [i3]Cheng Yang, Maosong Sun, Wayne Xin Zhao, Zhiyuan Liu, Edward Y. Chang:
A Neural Network Approach to Joint Modeling Social Networks and Mobile Trajectories. CoRR abs/1606.08154 (2016) - 2015
- [c128]Hongyang Zhang, Zhouchen Lin, Chao Zhang, Edward Y. Chang:
Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds. AAAI 2015: 3143-3149 - [c127]Zhizhong Li, Deli Zhao, Zhouchen Lin, Edward Y. Chang:
A new retraction for accelerating the Riemannian three-factor low-rank matrix completion algorithm. CVPR 2015: 4530-4538 - [c126]Chuen-Kai Shie, Chung-Hisang Chuang, Chun-Nan Chou, Meng-Hsi Wu, Edward Y. Chang:
Transfer representation learning for medical image analysis. EMBC 2015: 711-714 - [c125]Cheng Yang, Zhiyuan Liu, Deli Zhao, Maosong Sun, Edward Y. Chang:
Network Representation Learning with Rich Text Information. IJCAI 2015: 2111-2117 - [c124]Wen-bing Huang, Deli Zhao, Fuchun Sun, Huaping Liu, Edward Y. Chang:
Scalable Gaussian Process Regression Using Deep Neural Networks. IJCAI 2015: 3576-3582 - [c123]Zhizhong Li, Deli Zhao, Zhouchen Lin, Edward Y. Chang:
Determining step sizes in geometric optimization algorithms. ISIT 2015: 1217-1221 - [c122]Lun-Cheng Chu, Andre Chen, Yu-Hsin Lin, Yu-Mei Chen, Scott Chien-Hung Liao, Edward Y. Chang:
Pan360: INS Assisted 360-Degree Panorama. ImmersiveME@ACM Multimedia 2015: 7-12 - [c121]Yu-Hsin Lin, Yu-Mei Chen, Lun-Cheng Chu, Andre Chen, Scott Chien-Hung Liao, Edward Y. Chang:
Pan360: INS Assisted 360-Degree Panorama (Demo Description). ACM Multimedia 2015: 795-796 - 2014
- [j33]Zhiyu Wang, Peng Cui, Fangtao Li, Edward Y. Chang, Shiqiang Yang:
A data-driven study of image feature extraction and fusion. Inf. Sci. 281: 536-558 (2014) - [j32]Meng-Chieh Yu, Tong Yu, Shao-Chen Wang, Chih-Jen Lin, Edward Y. Chang:
Big Data Small Footprint: The Design of A Low-Power Classifier for Detecting Transportation Modes. Proc. VLDB Endow. 7(13): 1429-1440 (2014) - [c120]Miao Fan, Deli Zhao, Qiang Zhou, Zhiyuan Liu, Thomas Fang Zheng, Edward Y. Chang:
Distant Supervision for Relation Extraction with Matrix Completion. ACL (1) 2014: 839-849 - [i2]Miao Fan, Deli Zhao, Qiang Zhou, Zhiyuan Liu, Thomas Fang Zheng, Edward Y. Chang:
Errata: Distant Supervision for Relation Extraction with Matrix Completion. CoRR abs/1411.4455 (2014) - 2013
- [j31]Edward Y. Chang:
Context-Aware Computing: Opportunities and Open Issues. Proc. VLDB Endow. 6(11): 1172-1173 (2013) - 2012
- [j30]Edward Y. Chang, Shih-Fu Chang, Alexander G. Hauptmann, Thomas S. Huang, Malcolm Slaney:
Web-Scale Multimedia Processing and Applications [Scanning the Issue]. Proc. IEEE 100(9): 2580-2583 (2012) - [j29]Junchen Jiang, Hongji Bao, Edward Y. Chang, Yuqian Li:
MOIST: A Scalable and Parallel Moving Object Indexer with School Tracking . Proc. VLDB Endow. 5(12): 1838-1849 (2012) - [c119]Tom Chao Zhou, Xiance Si, Edward Y. Chang, Irwin King, Michael R. Lyu:
A Data-Driven Approach to Question Subjectivity Identification in Community Question Answering. AAAI 2012: 164-170 - [c118]Yuan Gao, Chengu Wang, Edward Y. Chang:
INSPORAMA: INS-Aided Misalignment Correction in Feature-Based Panoramic Image Stitching. ICME Workshops 2012: 659-664 - [c117]Weipeng Zhuo, Bo Zhang, Shueng-Han Gary Chan, Edward Y. Chang:
Error Modeling and Estimation Fusion for Indoor Localization. ICME 2012: 741-746 - [c116]Haoruo Peng, Zhengyu Wang, Edward Y. Chang, Shuchang Zhou, Zhihua Zhang:
Sublinear Algorithms for Penalized Logistic Regression in Massive Datasets. ECML/PKDD (1) 2012: 553-568 - [c115]Zhicheng Zheng, Xiance Si, Fangtao Li, Edward Y. Chang, Xiaoyan Zhu:
Entity Disambiguation with Freebase. Web Intelligence 2012: 82-89 - [c114]Zhihua Zhang, Dakan Wang, Edward Y. Chang:
An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling. AISTATS 2012: 1416-1424 - [i1]Junchen Jiang, Hongji Bao, Edward Y. Chang, Yuqian Li:
MOIST: A Scalable and Parallel Moving Object Indexer with School Tracking. CoRR abs/1208.4178 (2012) - 2011
- [j28]Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen Lin, Edward Y. Chang:
Parallel Spectral Clustering in Distributed Systems. IEEE Trans. Pattern Anal. Mach. Intell. 33(3): 568-586 (2011) - [j27]Edward Y. Chang:
A conversation with Dr. Edward Y. Chang. SIGKDD Explor. 13(2): 73-74 (2011) - [j26]Zhiyuan Liu, Yuzhou Zhang, Edward Y. Chang, Maosong Sun:
PLDA+: Parallel latent dirichlet allocation with data placement and pipeline processing. ACM Trans. Intell. Syst. Technol. 2(3): 26:1-26:18 (2011) - [c113]Baichuan Li, Xiance Si, Michael R. Lyu, Irwin King, Edward Y. Chang:
Question identification on twitter. CIKM 2011: 2477-2480 - [c112]Edward Y. Chang:
Mobile Information Management and Retrieval. ICADL 2011: 4 - [c111]Bo Zhang, S.-H. Gary Chan, Gene Cheung, Edward Y. Chang:
LocalTree: An Efficient Algorithm for Mobile Peer-to-Peer Live Streaming. ICC 2011: 1-5 - [c110]Zhicheng Zheng, Xiance Si, Edward Y. Chang, Xiaoyan Zhu:
K2Q: Generating Natural Language Questions from Keywords with User Refinements. IJCNLP 2011: 947-955 - [c109]Edward Y. Chang:
Sensor-aided mobile information management and retrieval. SIGIR 2011: 1333-1334 - 2010
- [j25]Xiance Si, Edward Y. Chang, Zoltán Gyöngyi, Maosong Sun:
Confucius and Its Intelligent Disciples: Integrating Social with Search. Proc. VLDB Endow. 3(2): 1505-1516 (2010) - [c108]Malcolm Slaney, Edward Y. Chang:
Processing web-scale multimedia data. ACM Multimedia 2010: 1771-1772 - [c107]Edward Y. Chang:
AdHeat - An Influence-Based Diffusion Model for Propagating Hints to Personalize Social Ads. UMAP 2010: 3 - [c106]Edward Y. Chang:
Search and Social Integration. WISE 2010: 20 - [c105]Hongji Bao, Edward Y. Chang:
AdHeat: an influence-based diffusion model for propagating hints to match ads. WWW 2010: 71-80 - [e2]Feifei Li, Mirella M. Moro, Shahram Ghandeharizadeh, Jayant R. Haritsa, Gerhard Weikum, Michael J. Carey, Fabio Casati, Edward Y. Chang, Ioana Manolescu, Sharad Mehrotra, Umeshwar Dayal, Vassilis J. Tsotras:
Proceedings of the 26th International Conference on Data Engineering, ICDE 2010, March 1-6, 2010, Long Beach, California, USA. IEEE Computer Society 2010, ISBN 978-1-4244-5444-0 [contents]
2000 – 2009
- 2009
- [c104]Edward Y. Chang:
Parallel Algorithms for Collaborative Filtering. AAIM 2009: 2 - [c103]Yi Wang, Hongjie Bai, Matt Stanton, Wen-Yen Chen, Edward Y. Chang:
PLDA: Parallel Latent Dirichlet Allocation for Large-Scale Applications. AAIM 2009: 301-314 - [c102]Edward Y. Chang:
Confucius and "Its" Intelligent Disciples. ADMA 2009: 1 - [c101]Edward Y. Chang:
Confucius and "its" intelligent disciples. CIKM 2009: 3 - [c100]Davood Rafiei, Andrei Z. Broder, Edward Y. Chang, Patrick Pantel:
Information extraction meets relation databases. CIKM 2009: 897 - [c99]Edward Y. Chang, Hongjie Bai, Kaihua Zhu:
Parallel algorithms for mining large-scale rich-media data. ACM Multimedia 2009: 917-918 - [c98]WenYen Chen, Jon-Chyuan Chu, Junyi Luan, Hongjie Bai, Yi Wang, Edward Y. Chang:
Collaborative filtering for orkut communities: discovery of user latent behavior. WWW 2009: 681-690 - [r1]Edward Y. Chang:
Semantic Modeling and Knowledge Representation for Multimedia Data. Encyclopedia of Database Systems 2009: 2566-2571 - 2008
- [j24]Arun Qamra, Edward Y. Chang:
Scalable landmark recognition using EXTENT. Multim. Tools Appl. 38(2): 187-208 (2008) - [j23]Thomas S. Huang, Charlie K. Dagli, Shyamsundar Rajaram, Edward Y. Chang, Michael I. Mandel, Graham E. Poliner, Daniel P. W. Ellis:
Active Learning for Interactive Multimedia Retrieval. Proc. IEEE 96(4): 648-667 (2008) - [j22]Michael J. Cafarella, Edward Y. Chang, Andrew Fikes, Alon Y. Halevy, Wilson C. Hsieh, Alberto Lerner, Jayant Madhavan, S. Muthukrishnan:
Data management projects at Google. SIGMOD Rec. 37(1): 34-38 (2008) - [c97]Edward Y. Chang:
Organizing multimedia data socially. CIVR 2008: 569-570 - [c96]WenYen Chen, Dong Zhang, Edward Y. Chang:
Combinational collaborative filtering for personalized community recommendation. KDD 2008: 115-123 - [c95]Jiakai Liu, Rong Hu, Meihong Wang, Yi Wang, Edward Y. Chang:
Web-Scale Image Annotation. PCM 2008: 663-674 - [c94]Yangqiu Song, WenYen Chen, Hongjie Bai, Chih-Jen Lin, Edward Y. Chang:
Parallel Spectral Clustering. ECML/PKDD (2) 2008: 374-389 - [c93]Haoyuan Li, Yi Wang, Dong Zhang, Ming Zhang, Edward Y. Chang:
Pfp: parallel fp-growth for query recommendation. RecSys 2008: 107-114 - [c92]Edward Y. Chang, Ken Ong, Susanne Boll, Wei-Ying Ma:
Rich media and web 2.0. WWW 2008: 1259-1260 - 2007
- [j21]Zhihua Zhang, Gang Wu, Edward Y. Chang:
Semiparametric Regression Using Student t Processes. IEEE Trans. Neural Networks 18(6): 1572-1588 (2007) - [j20]Raju Rangaswami, Zoran Dimitrijevic, Edward Y. Chang, Klaus E. Schauser:
Building MEMS-based storage systems for streaming media. ACM Trans. Storage 3(2): 6:1-6:31 (2007) - [c91]Ankur Jain, Edward Y. Chang, Yuan-Fang Wang:
Bayesian Reasoning for Sensor Group-Queries and Diagnosis. DASFAA 2007: 522-538 - [c90]Kaihua Zhu, Hang Cui, Hongjie Bai, Jian Li, Zhihuan Qiu, Hao Wang, Hui Xu, Edward Y. Chang:
Parallel Approximate Matrix Factorization for Kernel Methods. ICME 2007: 1275-1278 - [c89]Arun Qamra, Edward Y. Chang:
Scalable Indexing for Perceptual Data. MCAM 2007: 24-32 - [c88]Edward Y. Chang, Kaihua Zhu, Hao Wang, Hongjie Bai, Jian Li, Zhihuan Qiu, Hang Cui:
Parallelizing Support Vector Machines on Distributed Computers. NIPS 2007: 257-264 - [c87]Arun Qamra, Edward Y. Chang:
RCMap: Efficiently Creating High-Quality Euclidean Embeddings. SDM 2007: 102-112 - 2006
- [j19]Navneet Panda, Kingshy Goh, Edward Y. Chang:
Active learning in very large databases. Multim. Tools Appl. 31(3): 249-267 (2006) - [j18]Navneet Panda, Edward Y. Chang:
KDX: An Indexer for Support Vector Machines. IEEE Trans. Knowl. Data Eng. 18(6): 748-763 (2006) - [c86]Arun Qamra, Belle L. Tseng, Edward Y. Chang:
Mining blog stories using community-based and temporal clustering. CIKM 2006: 58-67 - [c85]Ankur Jain, Zhihua Zhang, Edward Y. Chang:
Adaptive non-linear clustering in data streams. CIKM 2006: 122-131 - [c84]Gang Wu, Amir M. Rahimi, Edward Y. Chang, Kingshy Goh, Tomy Tsai, Ankur Jain, Yuan-Fang Wang:
Identifying Color in Motion in Video Sensors. CVPR (1) 2006: 561-569 - [c83]Navneet Panda, Edward Y. Chang, Arun Qamra:
Hypersphere Indexer. DEXA 2006: 644-654 - [c82]Navneet Panda, Edward Y. Chang, Gang Wu:
Concept boundary detection for speeding up SVMs. ICML 2006: 681-688 - [c81]Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang:
Learning the unified kernel machines for classification. KDD 2006: 187-196 - [c80]Gang Wu, Edward Y. Chang, Yen-Kuang Chen, Christopher J. Hughes:
Incremental approximate matrix factorization for speeding up support vector machines. KDD 2006: 760-766 - [c79]