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Salient Object Detection via Structured Matrix Decomposition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 卷号: 39, 期号: 4, 页码: 818-832
Authors:  Peng, Houwen;  Li, Bing;  Ling, Haibin;  Hu, Weiming;  Xiong, Weihua;  Maybank, Stephen J.
Adobe PDF(3573Kb)  |  Favorite  |  View/Download:147/56  |  Submit date:2017/05/05
Salient Object Detection  Matrix Decomposition  Low Rank  Structured Sparsity  Subspace Learning  
DE2: Dynamic ensemble of ensembles for learning nonstationary data 期刊论文
NEUROCOMPUTING, 2015, 卷号: 165, 页码: 14-22
Authors:  Yin, Xu-Cheng;  Huang, Kaizhu;  Hao, Hong-Wei
Favorite  |  View/Download:244/0  |  Submit date:2015/09/17
Ensemble Of Ensembles  Growing Ensemble  Sparsity Learning  Nonstationary Environment  Concept Drift  Incremental Learning  
Learning representative and discriminative image representation by deep appearance and spatial coding 期刊论文
Computer Vision and Image Understanding, 2015, 卷号: 136, 期号: 1, 页码: 23-31
Authors:  Bingyuan Liu;  Jing Liu;  Hanqing Lu
Adobe PDF(1491Kb)  |  Favorite  |  View/Download:45/10  |  Submit date:2017/02/20
Image Classification  Deep Learning  Structured Sparsity  
A novel classifier ensemble method with sparsity and diversity 期刊论文
NEUROCOMPUTING, 2014, 卷号: 134, 页码: 214-221
Authors:  Yin, Xu-Cheng;  Huang, Kaizhu;  Hao, Hong-Wei;  Iqbal, Khalid;  Wang, Zhi-Bin
Favorite  |  View/Download:79/0  |  Submit date:2015/08/12
Classifier Ensemble  Sparsity Learning  Diversity Learning  Neural Network Ensembles  Genetic Algorithm  
Enhancing Person Re-identification by Robust Structural Metric Learning 会议论文
ICIG 2013, Qingdao, China, 26-28 July 2013
Authors:  Gang Yuan;  Zhaoxiang Zhang;  Yunhong Wang
Favorite  |  View/Download:26/0  |  Submit date:2017/02/09
Robust  Person Re-identification  Structural Metric Learning  Input Sparsity  
模式的稀疏性分析及其在识别中的应用 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2012
Authors:  马龙
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稀疏性分析  稀疏表示  矩阵恢复  词典学习  人脸识别  字符识别  Sparsity Analysis  Sparse Representation  Matrix Recovery  Dictionary Learning  Face Recognition  Character Recognition  
弱监督判别学习算法研究 学位论文
, 中国科学院自动化研究所: 中国科学院研究生院, 2011
Authors:  戴博
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聚类分析  半监督分类  半监督距离度量学习  非监督光滑性假设  后验稀疏假设    高斯过程  Clustering  Semi-supervised Classification  Semi-supervised Metric Learning  Unsupervised Smoothness Assumption  Posterior Sparsity Assumption  Entropy  Gaussian Process