Discriminative compact pyramids for object and scene recognition
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Fahad Shahbaz Khan | Joost van de Weijer | Jordi Gonzàlez | Noha M. Elfiky | Jordi Gonzàlez | F. Khan
[1] Jian Yang,et al. Robust sparse coding for face recognition , 2011, CVPR 2011.
[2] Jianxin Wu,et al. A Fast Dual Method for HIK SVM Learning , 2010, ECCV.
[3] Liang-Tien Chia,et al. Image-to-Class Distance Metric Learning for Image Classification , 2010, ECCV.
[4] Thomas S. Huang,et al. Efficient Highly Over-Complete Sparse Coding Using a Mixture Model , 2010, ECCV.
[5] Koen E. A. van de Sande,et al. Evaluating Color Descriptors for Object and Scene Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Julien Mairal,et al. Proximal Methods for Sparse Hierarchical Dictionary Learning , 2010, ICML.
[7] Xiaoqin Zhang,et al. Use bin-ratio information for category and scene classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[8] Florent Perronnin,et al. Large-scale image categorization with explicit data embedding , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[9] Jean Ponce,et al. Learning mid-level features for recognition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[10] Fahad Shahbaz Khan,et al. Top-down color attention for object recognition , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[11] James M. Rehg,et al. Beyond the Euclidean distance: Creating effective visual codebooks using the Histogram Intersection Kernel , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[12] Sebastian Nowozin,et al. On feature combination for multiclass object classification , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[13] Cordelia Schmid,et al. Learning Color Names for Real-World Applications , 2009, IEEE Transactions on Image Processing.
[14] Svetlana Lazebnik,et al. Supervised Learning of Quantizer Codebooks by Information Loss Minimization , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Sebastian Nowozin,et al. Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[16] Yihong Gong,et al. Linear spatial pyramid matching using sparse coding for image classification , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[17] F. Bach,et al. Online dictionary learning for sparse coding , 2009, ICML '09.
[18] Stefano Soatto,et al. Localizing Objects with Smart Dictionaries , 2008, ECCV.
[19] Christoph H. Lampert,et al. Beyond sliding windows: Object localization by efficient subwindow search , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[20] Subhransu Maji,et al. Classification using intersection kernel support vector machines is efficient , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[21] Andrew Zisserman,et al. Scene Classification Using a Hybrid Generative/Discriminative Approach , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Fei-Fei Li,et al. What, where and who? Classifying events by scene and object recognition , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[23] M. Varma,et al. Learning The Discriminative Power-Invariance Trade-Off , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[24] Cordelia Schmid,et al. Learning Object Representations for Visual Object Class Recognition , 2007, ICCV 2007.
[25] Andrew Zisserman,et al. Representing shape with a spatial pyramid kernel , 2007, CIVR '07.
[26] Yves Grandvalet,et al. More efficiency in multiple kernel learning , 2007, ICML '07.
[27] Eli Shechtman,et al. Matching Local Self-Similarities across Images and Videos , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[28] Frédéric Jurie,et al. Latent mixture vocabularies for object categorization and segmentation , 2006, Image Vis. Comput..
[29] 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).
[30] Cordelia Schmid,et al. Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).
[31] Cordelia Schmid,et al. Coloring Local Feature Extraction , 2006, ECCV.
[32] Andrew Zisserman,et al. Scene Classification Via pLSA , 2006, ECCV.
[33] Luc Van Gool,et al. Modeling scenes with local descriptors and latent aspects , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[34] Antonio Criminisi,et al. Object categorization by learned universal visual dictionary , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[35] C. Schmid,et al. A performance evaluation of local descriptors , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[36] Cordelia Schmid,et al. A sparse texture representation using local affine regions , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[37] 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).
[38] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[39] Michael I. Jordan,et al. Multiple kernel learning, conic duality, and the SMO algorithm , 2004, ICML.
[40] Cordelia Schmid,et al. Selection of scale-invariant parts for object class recognition , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[41] Inderjit S. Dhillon,et al. A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification , 2003, J. Mach. Learn. Res..
[42] Naftali Tishby,et al. Agglomerative Information Bottleneck , 1999, NIPS.
[43] Gertjan J. Burghouts,et al. Performance evaluation of local colour invariants , 2009, Comput. Vis. Image Underst..
[44] Jianguo Zhang. The PASCAL Visual Object Classes Challenge , 2006 .
[45] L. Gool,et al. The PASCAL visual object classes challenge 2006 (VOC2006) results , 2006 .
[46] Christopher K. I. Williams,et al. The Pascal Visual Object Classes Challenge 2006 ( VOC 2006 ) Results , 2006 .
[47] S. Lazebnik,et al. Local Features and Kernels for Classification of Texture and Object Categories: An In-Depth Study , 2005 .
[48] Gabriela Csurka,et al. Visual categorization with bags of keypoints , 2002, eccv 2004.
[49] Christoph H. Lampert,et al. Efficient Subwindow Search: A Branch and Bound Framework for Object Localization , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[50] Hedi Harzallah,et al. Combining efficient object localization and image classification , 2009, 2009 IEEE 12th International Conference on Computer Vision.