Per-Sample Multiple Kernel Approach for Visual Concept Learning
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[1] Fahad Shahbaz Khan,et al. Top-down color attention for object recognition , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[2] Stefano Soatto,et al. Proximity Distribution Kernels for Geometric Context in Category Recognition , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[3] 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.
[4] Manik Varma,et al. Learning The Discriminative Power-Invariance Trade-Off , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[5] Trevor Darrell,et al. The pyramid match kernel: discriminative classification with sets of image features , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[6] Sanja Fidler,et al. Similarity-based cross-layered hierarchical representation for object categorization , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Michael I. Jordan,et al. On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes , 2001, NIPS.
[8] Ethem Alpaydin,et al. Localized multiple kernel learning , 2008, ICML '08.
[9] Marcel Worring,et al. Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Gunnar Rätsch,et al. Large Scale Multiple Kernel Learning , 2006, J. Mach. Learn. Res..
[11] Ankita Kumar,et al. Support Kernel Machines for Object Recognition , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[12] Bernt Schiele,et al. Natural Scene Retrieval Based on a Semantic Modeling Step , 2004, CIVR.
[13] Daphne Koller,et al. Support Vector Machine Active Learning with Applications to Text Classification , 2000, J. Mach. Learn. Res..
[14] Serge J. Belongie,et al. Object categorization using co-occurrence, location and appearance , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Nello Cristianini,et al. Kernel Methods for Pattern Analysis , 2004 .
[16] Gang Wang,et al. Using Dependent Regions for Object Categorization in a Generative Framework , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[17] Daniel P. Huttenlocher,et al. Spatial priors for part-based recognition using statistical models , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[18] Jitendra Malik,et al. SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[19] Kilian Q. Weinberger,et al. Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.
[20] Michael I. Jordan,et al. Multiple kernel learning, conic duality, and the SMO algorithm , 2004, ICML.
[21] Jianguo Zhang,et al. The PASCAL Visual Object Classes Challenge , 2006 .
[22] Wen Gao,et al. A New Multiple Kernel Approach for Visual Concept Learning , 2009, MMM.
[23] Alexei A. Efros,et al. Discovering objects and their location in images , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[24] Wen Gao,et al. Group-sensitive multiple kernel learning for object categorization , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[25] Eli Shechtman,et al. Matching Local Self-Similarities across Images and Videos , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[26] David G. Lowe,et al. Multiclass Object Recognition with Sparse, Localized Features , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[27] Martin Szummer,et al. Indoor-outdoor image classification , 1998, Proceedings 1998 IEEE International Workshop on Content-Based Access of Image and Video Database.
[28] Andrew Zisserman,et al. An Exemplar Model for Learning Object Classes , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[29] Andrew Zisserman,et al. Image Classification using Random Forests and Ferns , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[30] Cordelia Schmid,et al. Learning Object Representations for Visual Object Class Recognition , 2007, ICCV 2007.
[31] Andrew Zisserman,et al. Representing shape with a spatial pyramid kernel , 2007, CIVR '07.
[32] Pietro Perona,et al. One-shot learning of object categories , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[33] Gunnar Rätsch,et al. A General and Efficient Multiple Kernel Learning Algorithm , 2005, NIPS.
[34] Jitendra Malik,et al. Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[35] Yves Grandvalet,et al. Y.: SimpleMKL , 2008 .
[36] Rong Jin,et al. Semi-supervised SVM batch mode active learning for image retrieval , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[37] John C. Platt,et al. Fast training of support vector machines using sequential minimal optimization, advances in kernel methods , 1999 .
[38] Gang Wang,et al. Learning image similarity from Flickr groups using Stochastic Intersection Kernel MAchines , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[39] Chiou-Shann Fuh,et al. Local Ensemble Kernel Learning for Object Category Recognition , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[40] Sebastian Nowozin,et al. On feature combination for multiclass object classification , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[41] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[42] Pietro Perona,et al. Learning object categories from Google's image search , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[43] Alexei A. Efros,et al. Recognition by association via learning per-exemplar distances , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.