Discriminative compact pyramids for object and scene recognition

[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.