Visualizing Web Images Using Fisher Discriminant Locality Preserving Canonical Correlation Analysis
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[1] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[2] Gabriela Csurka,et al. Visual categorization with bags of keypoints , 2002, eccv 2004.
[3] Klaus Schöffmann,et al. 3-D Interfaces to Improve the Performance of Visual Known-Item Search , 2014, IEEE Transactions on Multimedia.
[4] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[5] Geoffrey E. Hinton,et al. Stochastic Neighbor Embedding , 2002, NIPS.
[6] W. Torgerson. Multidimensional scaling: I. Theory and method , 1952 .
[7] Quan-Sen Sun,et al. Multiset Canonical Correlations Using Globality Preserving Projections With Applications to Feature Extraction and Recognition , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[8] Hsuan-Tien Lin,et al. Unsupervised Semantic Feature Discovery for Image Object Retrieval and Tag Refinement , 2012, IEEE Transactions on Multimedia.
[9] Ethem Alpaydin,et al. Introduction to machine learning , 2004, Adaptive computation and machine learning.
[10] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[11] M. Kubát. An Introduction to Machine Learning , 2017, Springer International Publishing.
[12] Tat-Seng Chua,et al. NUS-WIDE: a real-world web image database from National University of Singapore , 2009, CIVR '09.
[13] Michael R. Lyu,et al. Bridging the Semantic Gap Between Image Contents and Tags , 2010, IEEE Transactions on Multimedia.
[14] Lei Wu,et al. Tag Completion for Image Retrieval , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Chiou-Shann Fuh,et al. Multiple Kernel Learning for Dimensionality Reduction , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Jianping Fan,et al. A novel approach to enable semantic and visual image summarization for exploratory image search , 2008, MIR '08.
[17] Songcan Chen,et al. Locality preserving CCA with applications to data visualization and pose estimation , 2007, Image Vis. Comput..
[18] Qingming Huang,et al. Cross-Modal Correlation Learning by Adaptive Hierarchical Semantic Aggregation , 2014, IEEE Transactions on Multimedia.
[19] Nenghai Yu,et al. Flickr distance , 2008, ACM Multimedia.
[20] Kaizhu Huang,et al. m-SNE: Multiview Stochastic Neighbor Embedding , 2011, IEEE Trans. Syst. Man Cybern. Part B.
[21] Fei-Fei Li,et al. Hierarchical semantic indexing for large scale image retrieval , 2011, CVPR 2011.
[22] Xiaofei He,et al. Locality Preserving Projections , 2003, NIPS.
[23] Thomas Hofmann,et al. Unsupervised Learning by Probabilistic Latent Semantic Analysis , 2004, Machine Learning.
[24] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[25] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[26] Qingming Huang,et al. Effective Multimodality Fusion Framework for Cross-Media Topic Detection , 2016, IEEE Transactions on Circuits and Systems for Video Technology.
[27] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[28] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[29] Download Book,et al. Information Visualization in Data Mining and Knowledge Discovery , 2001 .
[30] Laurens van der Maaten,et al. Accelerating t-SNE using tree-based algorithms , 2014, J. Mach. Learn. Res..
[31] David G. Stork,et al. Pattern Classification , 1973 .
[32] Tao Mei,et al. Tree-Based Visualization and Optimization for Image Collection , 2015, IEEE Transactions on Cybernetics.
[33] T. Caliński,et al. A dendrite method for cluster analysis , 1974 .
[34] Jiawei Han,et al. Data Mining: Concepts and Techniques , 2000 .