Visualizing Web Images Using Fisher Discriminant Locality Preserving Canonical Correlation Analysis

Title Visualizing Web Images Using Fisher Discriminant Locality Preserving Canonical Correlation Analysis Author(s) Tateno, Kohei; Ogawa, Takahiro; Haseyama, Miki Citation IEICE transactions on information and systems, E100D(9), 2005-2016 https://doi.org/10.1587/transinf.2016PCP0005 Issue Date 2017-09 Doc URL http://hdl.handle.net/2115/70671 Rights Copyright ©2017 The Institute of Electronics, Information and Communication Engineers Type article File Information Visualizing Web Images Using Fisher Discriminant Locality Preserving Canonical Correlation Analysis.pdf

[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 .