Survey & Review[1]. Liu Yang, Distance Metric Learning: A Comprehensive Survey, 2005. [PDF] PPT] [2]. Liu Yang, An Overview of Distance Metric Learning, 2007. [PDF] [3]. Liu Yang, The Connection Between Manifold Learning and Distance Metric Learning, 2007. [PDF] [4]. Killian Q. Weinberger, Fei Sha and Lawrence K. Saul, Convex Optimizations for Distance Metric Learning and Pattern Classification, IEEE Signal Processing Magazine, 2010. [5]. Keinosuke Fukunaga and Thomas E. Flick, An Optimal Global Nearest Neighbor Metric, IEEE TPAMI 1984. Supervised Distance Metric Learning[2]. Shijun Wang and Rong Jin, An Information Geometry Approach for Distance Metric Learning, AISTAT, 2009. [3]. Killian Weinberger and Lawrence K. Saul, Distance Metric Learning for Large Margin Nearest Neighbor Classification, JMLR 2009. [Project] [5]. Rong Jin, Shijun Wang and Yang Zhou, Regularized Distance Metric Learning: Theory and Algorithm, NIPS 2009. [6]. Chunhua Shen, Junae Kim, Lei Wang and Anton van den Hengel, Positive Semidefinite Metric Learning with Boosting, NIPS 2009. [7]. Lorenzo Torresani and Kuang-chih Lee, Large Margin Component Analysis, NIPS 2007. Semi-Supervised Distance Metric Learning[1]. Zheng-Jun Zha, Tao Mei, Meng Wang, Zengfu Wang and Xian-Sheng Hua, Robust Distance Metric Learning with Auxiliary Knowledge, IJCAI 2009. [2]. Mahdieh Soleymani Baghshah and Saeed Bagheri Shouraki, Semi-Supervised Metric Learning Using Pairwise Constraints, IJCAI 2009. [3]. Lei Wu, Rong Jin, Steven C. H. Hoi, Jianke Zhu and Nenghai Yu, Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering, NIPS 2009. [4]. Lei Wu, Steven C. H. Hoi, Rong Jin and Nenghai Yu, Learning Bregman Distance Functions for Semi-Supervised Clustering, IEEE TKDE 2011. [PDF] [5]. Wei Liu, Xinmei Tian, Dacheng Tao and Jianzhuang Liu, Constrained Metric Learning via Distance Gap Maximization, AAAI 2010. [pdf] [6]. Gang Niu, Bo Dai, Makoto Yamada and Masashi Sugiyama, SERAPH: Semi-supervised Metric Learning Paradigm with Hyper Sparsity. [Arxiv] [1]. Michael Fink, Object Classification from a Single Example Utilizing Class Relevance Metrics, NIPS 2004. [2]. Yung-Kyun Noh, Byoung-Tak Zhang and Daniel D. Lee, Generative Local Metric Learning for Nearest Neighbor Classification, NIPS 2010. [3]. Pascal Vincent and Yoshua Bengio, K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms, NIPS 2001. [4]. Andrea Frome, Yoram Singer, Jitendra Malik, Image Retrieval and Classification Using Local Distance Functions, NIPS 2006. [5]. Andrea Frome, Yoram Singer, Fei Sha and Jitendra Malik, Learning Globally-Consistent Local Distance Functions for Shape-based Image Retrieval and Classification, ICCV 2007. [6]. Tomasz Malisiewicz and Alexei A. Efros, Recognition by Association via Learning Per-exemplar Distances, CVPR 2008. [Projectt] [7]. Sancho McCann and David G. Lowe, Local Naive Bayes Nearest Neighbor for Image Classification, 2011. [PDF] Instance-To-Class/Class-To-Instance Distance[1]. O. Boiman, E. Schechtman and M. Irani, In Defense of Nearest Neighbor based Image Classification, CVPR 2008. [2]. Zhengxiang Wang, Yiqun Hu and Liang-Tien Chia, Learning Instance-to-Class Distance for Human Action Recognition, ICIP 2009. [3]. Zhengxiang Wang, Yiqun Hu and Liang-Tien Chia, Multi-label Learning by Image-To-Class Distance for Scene Classification and Image Annotation, CIVR 2010. [4]. Regis Behmo, Paul Marcombes, Arnak Dalalyan and Veronique Prinet, Towards Optimal Naive Bayes Nearest Neighbor, ECCV 2010. [9]. T. Tuytelaars, M. Fritz, K. Saenko and T. Darrell, Kernelized NBNN, ICCV 2011.[5]. Zhengxiang Wang, Yiqun Hu and Liang-Tien Chia, Image-to-Class Distance Metric Learning for Image Classification. ECCV 2010. [6]. Zhengxiang Wang, Yiqun Hu and Liang-Tien Chia, Improved Learning of I2C Distance and Accelerating the Neighborhood Search for Image Classification, Pattern Recognition, 2011. [7]. Hua Wang, Feiping Nie, Heng Huang, Learning Instance Specific Distance for Multi-Instance Classifications, AAAI 2011. [8]. Hua Wang, Heng Huang, Farhad Kamangar and Feiping Nie, Maximum Margin Multi-Instance Learning, NIPS 2011. Information-Theoretic Distance Metric Learning[1]. Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra and Inderjit Dhillon, Information-Theoretic Metric Learning, ICML 2007. [2]. Lei Wu, Rong Jin, Steven C. H. Hoi, Jianke Zhu and Nenghai Yu, Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering, NIPS 2009. [3]. Lei Wu, Steven C. H. Hoi, Rong Jin and Nenghai Yu, Learning Bregman Distance Functions for Semi-Supervised Clustering, IEEE TKDE 2011. [PDF] [2]. Yiming Ying, Kaizhu Huang and Colin Campbell, Sparse Metric Learning via Smooth Optimization, NIPS 2009. [3]. Wei Liu, Shiqian Ma, Dacheng Tao, Peng Liu and Jianzhuang Liu, Semi-Supervised Sparse Metric Learning Using Alternative Linearization Optimization, SIGKDD 2010. [4]. Yi Hong, Quannan Li, Jiayan Jiang and Zhuowen Tu, Learning A Mixture of Sparse Distance Metrics for Classification and Dimensionality Reduction, ICCV 2011. [PDF] [1]. Prateek Jain, Brian Kulis, Inderjit S. Dhillon and Kristen Grauman, Online Metric Learning and Fast Similarity Search, NIPS 2008. [2]. Gal Chechik Varun Sharma and Uri Shalit, An Online Algorithm for Large Scale Image Simlarity Learning, NIPS 2009. [3]. Parikshit Ram, Dongryeol Lee, Hua Ouyang and Alexander G. Gray, Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions, NIPS 2009. Transfer Distance Metric Learning[1]. Zheng-Jun Zha, Tao Mei, Meng Wang, Zengfu Wang and Xian-Sheng Hua, Robust Distance Metric Learning with Auxiliary Knowledge, IJCAI 2009. [2]. Yu Zhang and Dit-Yan Yeung, Transfer Metric Learning by Learning Task Relationships, SIGKDD 2010. [3]. Shibin Parameswaran and Killian Q. Weinberger, Large Margin Multi-task Metric Learning, NIPS 2010. [pdf] [code] Robust Distance Metric Learning[1]. Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu and Nenghai Yu, Distance Metric Learning from Uncertain Side Information with Application to Automated Photo Tagging, ACM MM 2009. [PDF] [PPT] [2]. Lei Wu, Steven C. H. Hoi and Nenghai Yu, Distance Metric Learning from Uncertain Side Information for Automated Photo Tagging, ACM TIST, 2011. [PDF] [3]. Zheng-Jun Zha, Tao Mei, Meng Wang, Zengfu Wang and Xian-Sheng Hua, Robust Distance Metric Learning with Auxiliary Knowledge, IJCAI 2009. [4]. Kaizhu Huang, Rong Jin, Zenglin Xu and Cheng-Lin Liu, Robust Metric Learning by Smooth Optimization, UAI 2010. [5]. Tianbao Yang, Rong Jin, Anil K. Jain, Learning from Noisy Side Information by Generalized Maximum Entropy Model, ICML 2010. Kernelized Distance Metric Learning [1]. Nam Nguyen and Yunsong Guo, Metric Learning: A Support Vector Approach, ECML/PKDD 2008. [2]. Prateek Jain, Brian Kulis and Inderjit S. Dhillon, Inductive Regularized Learning of Kernel Functions, NIPS 2010. [Slide] [Video] [3]. Jun Wang, Huyen Do, Adam Woznica and Alexandros Kalousis, Metric Learning with Multiple Kernels, NIPS 2011. Distance Metric Learning with Structure Information[1]. Lei Wu, Steven C. H. Hoi, Enhancing Bag-of-Words Models by Efficient Semantics-Preserving Metric Learning, IEEE Multimedia Magazine, 2011. [2]. Blake Shaw, Bert Huang and Tony Jebara, Learning a Distance Metric from a Network, NIPS 2011. (distance learning with connectivity information) [3]. Sung Ju Hwang, Kristen Grauman and Fei Sha, Learning a Tree of Metric with Disjoint Visual Features, NIPS 2011. (distance learning with taxonomy) [1]. Dimitric N. Metaxas, Unifying Subspace and Distance Metric Learning with Bhattacharyya Coefficient for Image Classification, ETVC, 2008. [2]. Kilian Weinberger: Distance Metric Learning for Kernel Machines, NIPS 2010 Workshops on New DIrections in Multiple Kernel Learning. [3]. Kilian Weinberger: Fast Solvers and Efficient Implementations for Distance Metric Learning, ICML 2008. [4]. Fuxin Li, A Transductive Framework of Distance Metric Learning by Spectral Dimensionality Reduction, ICML 2007. Latest Distance Metric Learning Method & ApplicationsFace Recognition/Identification[1]. Matthieu Guillaumin, Jakob Verbeek and Cordelia Schmid, Multiple Instance Metric Learning from Automatically Labeled Bags of Faces, ECCV 2010. [2]. Matthieu Guillaumin, Jakob Verbeek and Cordelia Schmid, Is that you? Metric Learning Approaches for Face Identification, ICCV 2009. [1]. Pencheng Wu, Steven C. H. Hoi, Peilin Zhao and Ying He, Mining Social Images with Distance Metric Learning for Automated Image Tagging WSDM 2011. Others [1]. Gertjan J. Burghouts, Arnold W. M. Smeulders and Jan-Mark Geusebroek, The Distribution Family of Similarity Distances, NIPS 2007. [1]. Miroslav Dudik and Robert E. Schapire, Maximum Entropy Distribution Estimation with Generalized Regularization, COLT 2006. Toolkits & Datasets[1]. Liu Yang and Rong Jin, DistLearnKit - A Matlab Toolkit for Distance Metric Learning [3]. Inderjit Dhillon, Information Theoretic Metric Learning Algorithm (ITML) |
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