• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 131 matches

• 2020
• 
  Mingyang Geng, SuNing Shang, Bo Ding, Huaimin Wang, Pengfei Zhang:
  Unsupervised Learning-Based Depth Estimation-Aided Visual SLAM Approach. Circuits Syst. Signal Process. 39(2): 543-570 (2020)
• 
  Khawla Bnou, Said Raghay, Abdelilah Hakim:
  A wavelet denoising approach based on unsupervised learning model. EURASIP J. Adv. Signal Process. 2020(1): 1-26 (2020)
• 
  Vishnuvarthanan Govindaraj, Arunprasath Thiyagarajan, M. Pallikonda Rajasekaran, Yudong Zhang, Rajesh Krishnasamy:
  Automated unsupervised learning-based clustering approach for effective anomaly detection in brain magnetic resonance imaging (MRI). IET Image Process. 14(14): 3516-3526 (2020)
• 
  Hongwei Yang, Hui He, Tao Li, Yawen Bai, Weizhe Zhang:
  Multi-metric domain adaptation for unsupervised transfer learning. IET Image Process. 14(12): 2780-2790 (2020)
• 
  Prosenjit Mukherjee, Shibaprasad Sen, Kaushik Roy, Ram Sarkar:
  Recognition of Online Handwritten Bangla Characters Using Supervised and Unsupervised Learning Approaches. Int. J. Comput. Vis. Image Process. 10(3): 18-30 (2020)
• 
  Wenhui Li, Shu Xiang, Weizhi Nie, Dan Song, An-An Liu, Xuanya Li, Tong Hao:
  Joint deep feature learning and unsupervised visual domain adaptation for cross-domain 3D object retrieval. Inf. Process. Manag. 57(5): 102275 (2020)
• 
  Boqi Gao, Daichi Amagata, Takuya Maekawa, Takahiro Hara:
  Detecting Energy Depriving Malicious Nodes by Unsupervised Learning in Energy Harvesting Cooperative Wireless Sensor Networks. J. Inf. Process. 28: 689-698 (2020)
• 
  Jialin Peng, Jiajin Yi, Zhimin Yuan:
  Unsupervised Mitochondria Segmentation in EM Images via Domain Adaptive Multi-Task Learning. IEEE J. Sel. Top. Signal Process. 14(6): 1199-1209 (2020)
• 
  Wendong Chen, Haifeng Hu:
  Unsupervised Domain Adaptation via Discriminative Classes-Center Feature Learning in Adversarial Network. Neural Process. Lett. 52(1): 467-483 (2020)
• 
  Fuqiang Zhou, Lin Wang, Zuoxin Li, Wangxia Zuo, Haishu Tan:
  Unsupervised Learning Approach for Abnormal Event Detection in Surveillance Video by Hybrid Autoencoder. Neural Process. Lett. 52(2): 961-975 (2020)
• 
  Abhijat Sarma, Rupak Chatterjee, Kaitlin Gili, Ting Yu:
  Quantum unsupervised and supervised learning on superconducting processors. Quantum Inf. Comput. 20(7&8): 541-552 (2020)
• 
  Petri-Johan Last, Herman A. Engelbrecht, Herman Kamper:
  Unsupervised Feature Learning for Speech Using Correspondence and Siamese Networks. IEEE Signal Process. Lett. 27: 421-425 (2020)
• 
  Shan Yang, Yuxuan Wang, Lei Xie:
  Adversarial Feature Learning and Unsupervised Clustering Based Speech Synthesis for Found Data With Acoustic and Textual Noise. IEEE Signal Process. Lett. 27: 1730-1734 (2020)
• 
  Gilles Boulianne:
  A Study of Inductive Biases for Unsupervised Speech Representation Learning. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2781-2795 (2020)
• 
  Siheng Chen, Chaojing Duan, Yaoqing Yang, Duanshun Li, Chen Feng, Dong Tian:
  Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering. IEEE Trans. Image Process. 29: 3183-3198 (2020)
• 
  Kongzhu Jiang, Tianzhu Zhang, Yongdong Zhang, Feng Wu, Yong Rui:
  Self-Supervised Agent Learning for Unsupervised Cross-Domain Person Re-Identification. IEEE Trans. Image Process. 29: 8549-8560 (2020)
• 
  Wonjik Kim, Asako Kanezaki, Masayuki Tanaka:
  Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering. IEEE Trans. Image Process. 29: 8055-8068 (2020)
• 
  Xuelong Li, Han Zhang, Rui Zhang, Feiping Nie:
  Discriminative and Uncorrelated Feature Selection With Constrained Spectral Analysis in Unsupervised Learning. IEEE Trans. Image Process. 29: 2139-2149 (2020)
• 
  Long Tian, Zhigang Tu, Dejun Zhang, Jun Liu, Baoxin Li, Junsong Yuan:
  Unsupervised Learning of Optical Flow With CNN-Based Non-Local Filtering. IEEE Trans. Image Process. 29: 8429-8442 (2020)
• 
  Rui Hu, Jia-Ming Cai, Wangjie Zheng, Yang Yang, Hong-Bin Shen:
  NiuEM: A Nested-iterative Unsupervised Learning Model for Single-particle Cryo-EM Image Processing. BIBM 2020: 583-588
• 
  Jose Somarribas, Adrian Loteanu:
  Using Micro-Processor Vector Instructions to Optimize Unsupervised Machine Learning K-Means Algorithm. LASCAS 2020: 1-4
• 
  Qiming Fang, Jichao Yan, Xiaomeng Gu, Jun Zhao, Qiang Li:
  Unsupervised learning-based deformable registration of temporal chest radiographs to detect interval change. Medical Imaging: Image Processing 2020: 113132X
• 
  Yabo Fu, Yang Lei, Tonghe Wang, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang:
  An unsupervised deep learning approach for 4DCT lung deformable image registration. Medical Imaging: Image Processing 2020: 113132T
• 
  Bob D. de Vos, Bas H. M. van der Velden, Jörg Sander, Kenneth G. A. Gilhuijs, Marius Staring, Ivana Isgum:
  Mutual information for unsupervised deep learning image registration. Medical Imaging: Image Processing 2020: 113130R
• 
  Yuan Zhao, John David Spence, Bernard Chiu:
  Unsupervised local feature learning for sensitive three-dimensional ultrasound assessment of carotid atherosclerosis. Medical Imaging: Image Processing 2020: 113133E
• 
  Angelo Ziletti, Christoph Berns, Oliver Treichel, Thomas Weber, Jennifer Liang, Stephanie Kammerath, Marion Schwaerzler, Jagatheswari Virayah, David Ruau, Xin Ma, Andreas Mattern:
  Discovering key topics from short, real-world medical inquiries via natural language processing and unsupervised learning. CoRR abs/2012.04545 (2020)
• 2019
• 
  Hanyuan Zhang, Xiaogang Deng, Yunchu Zhang, Chuanjing Hou, Chengdong Li, Zheng Xin:
  Nonlinear Process Monitoring Based on Global Preserving Unsupervised Kernel Extreme Learning Machine. IEEE Access 7: 106053-106064 (2019)
• 
  Namcheol Jung, Ghang Lee:
  Automated classification of building information modeling (BIM) case studies by BIM use based on natural language processing (NLP) and unsupervised learning. Adv. Eng. Informatics 41 (2019)
• 
  Lingtong Kong, Jie Yang:
  Unsupervised Learning Optical Flow by Robust Reconstruction and Edge-Aware Smoothing. Aust. J. Intell. Inf. Process. Syst. 17(1): 71-77 (2019)
• 
  Mourad Chaa, Zahid Akhtar, Abdelouahab Attia:
  3D palmprint recognition using unsupervised convolutional deep learning network and SVM classifier. IET Image Process. 13(5): 736-745 (2019)

skipping 101 more matches