Elements of Visual Concept Analysis
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[1] Nenghai Yu,et al. Flickr distance , 2008, ACM Multimedia.
[2] Pietro Perona,et al. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[3] Nenghai Yu,et al. Visual language modeling for image classification , 2007, MIR '07.
[4] Cordelia Schmid,et al. Scale & Affine Invariant Interest Point Detectors , 2004, International Journal of Computer Vision.
[5] James Ze Wang,et al. Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[6] Kilian Q. Weinberger,et al. Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.
[7] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[8] Christoph H. Lampert,et al. Learning to detect unseen object classes by between-class attribute transfer , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Shih-Fu Chang,et al. Detecting image near-duplicate by stochastic attributed relational graph matching with learning , 2004, MULTIMEDIA '04.
[10] Ivor W. Tsang,et al. Domain Transfer SVM for video concept detection , 2009, CVPR 2009.
[11] Silvio Savarese,et al. Discriminative Object Class Models of Appearance and Shape by Correlatons , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[12] Robert M. Gray,et al. Image classification by a two-dimensional hidden Markov model , 2000, IEEE Trans. Signal Process..
[13] Ming-Hsuan Yang,et al. Visual tracking with online Multiple Instance Learning , 2009, CVPR.
[14] Dong Liu,et al. Tag ranking , 2009, WWW '09.
[15] Nenghai Yu,et al. Query oriented subspace shifting for near-duplicate image detection , 2008, 2008 IEEE International Conference on Multimedia and Expo.
[16] Paul M. B. Vitányi,et al. The Google Similarity Distance , 2004, IEEE Transactions on Knowledge and Data Engineering.
[17] Inderjit S. Dhillon,et al. Information-theoretic metric learning , 2006, ICML '07.
[18] Tony Lindeberg,et al. Scale-Space Theory in Computer Vision , 1993, Lecture Notes in Computer Science.
[19] Geoffrey E. Hinton,et al. Neighbourhood Components Analysis , 2004, NIPS.
[20] Hisham Othman,et al. Low complexity 2-D Hidden Markov Model for face recognition , 2000, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353).
[21] Bin Wang,et al. Large-Scale Duplicate Detection for Web Image Search , 2006, 2006 IEEE International Conference on Multimedia and Expo.
[22] Fei-Fei Li,et al. Spatially Coherent Latent Topic Model for Concurrent Segmentation and Classification of Objects and Scenes , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[23] Piotr Indyk,et al. Similarity Search in High Dimensions via Hashing , 1999, VLDB.
[24] Ming Yang,et al. Discovery of Collocation Patterns: from Visual Words to Visual Phrases , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Yan Ke,et al. An efficient parts-based near-duplicate and sub-image retrieval system , 2004, MULTIMEDIA '04.
[26] Slava M. Katz,et al. Estimation of probabilities from sparse data for the language model component of a speech recognizer , 1987, IEEE Trans. Acoust. Speech Signal Process..
[27] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[28] Hector Garcia-Molina,et al. Safeguarding and charging for information on the Internet , 1998, Proceedings 14th International Conference on Data Engineering.
[29] Ankur Agarwal,et al. Hyperfeatures - Multilevel Local Coding for Visual Recognition , 2006, ECCV.
[30] Mor Naaman,et al. Why we tag: motivations for annotation in mobile and online media , 2007, CHI.
[31] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[32] Alexei A. Efros,et al. Using Multiple Segmentations to Discover Objects and their Extent in Image Collections , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[33] Stephen M. Smith,et al. SUSAN—A New Approach to Low Level Image Processing , 1997, International Journal of Computer Vision.
[34] Luc Van Gool,et al. SURF: Speeded Up Robust Features , 2006, ECCV.
[35] Antti Oulasvirta,et al. Computer Vision – ECCV 2006 , 2006, Lecture Notes in Computer Science.
[36] Dong Xu,et al. Video Event Recognition Using Kernel Methods with Multilevel Temporal Alignment , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[37] Tomer Hertz,et al. Boosting margin based distance functions for clustering , 2004, ICML.
[38] Yoram Singer,et al. An Efficient Boosting Algorithm for Combining Preferences by , 2013 .
[39] Adam Baumberg,et al. Reliable feature matching across widely separated views , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[40] Edward Y. Chang,et al. Enhanced perceptual distance functions and indexing for image replica recognition , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[41] Michael I. Jordan,et al. Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.
[42] Pietro Perona,et al. A Bayesian hierarchical model for learning natural scene categories , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[43] Raphaël Marée,et al. Random subwindows for robust image classification , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[44] Cordelia Schmid,et al. A maximum entropy framework for part-based texture and object recognition , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[45] Ronald Rosenfeld,et al. Statistical language modeling using the CMU-cambridge toolkit , 1997, EUROSPEECH.
[46] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[47] Stan Z. Li,et al. Markov Random Field Modeling in Image Analysis , 2001, Computer Science Workbench.
[48] Nenghai Yu,et al. Scale-Invariant Visual Language Modeling for Object Categorization , 2009, IEEE Trans. Multim..
[49] Andrew Zisserman,et al. A Boundary-Fragment-Model for Object Detection , 2006, ECCV.
[50] Tao Mei,et al. Correlative multi-label video annotation , 2007, ACM Multimedia.
[51] Lars Bretzner,et al. Feature Tracking with Automatic Selection of Spatial Scales , 1998, Comput. Vis. Image Underst..
[52] Jiri Matas,et al. Robust wide-baseline stereo from maximally stable extremal regions , 2004, Image Vis. Comput..
[53] Christopher G. Harris,et al. A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.
[54] Piotr Indyk,et al. Approximate nearest neighbors: towards removing the curse of dimensionality , 1998, STOC '98.
[55] John Riedl,et al. tagging, communities, vocabulary, evolution , 2006, CSCW '06.
[56] Han Wang,et al. Real-time corner detection algorithm for motion estimation , 1995, Image Vis. Comput..
[57] Pietro Perona,et al. Learning object categories from Google's image search , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[58] Tomer Hertz,et al. Learning a Mahalanobis Metric from Equivalence Constraints , 2005, J. Mach. Learn. Res..
[59] James Ze Wang,et al. SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[60] Hans P. Moravec. Obstacle avoidance and navigation in the real world by a seeing robot rover , 1980 .
[61] Alexei A. Efros,et al. Discovering objects and their location in images , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[62] Jitendra Malik,et al. Object detection using a max-margin Hough transform , 2009, CVPR.
[63] Cordelia Schmid,et al. An Affine Invariant Interest Point Detector , 2002, ECCV.
[64] Mads Nielsen,et al. Computer Vision — ECCV 2002 , 2002, Lecture Notes in Computer Science.
[65] Wei Liu,et al. Learning Distance Metrics with Contextual Constraints for Image Retrieval , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).