Mercer kernels for object recognition with local features (2005)

by Siwei Lyu
Venue:In IEEE CVPR
Citations:40 - 0 self

Active Bibliography

Matching Sets of Features . . . – Kristen Lorraine Grauman - 2006
367 The pyramid match kernel: Discriminative classification with sets of image features – Kristen Grauman, Trevor Darrell - 2005
(version 2) ∗ – Kristen Grauman, Trevor Darrell, Kristen Grauman, Trevor Darrell - 2006
94 The pyramid match kernel: Efficient learning with sets of features – Kristen Grauman, Trevor Darrell, Pietro Perona - 2007
1 LOCAL, SEMI-LOCAL AND GLOBAL MODELS FOR TEXTURE, OBJECT AND SCENE RECOGNITION – Svetlana Lazebnik - 2000
1 Current Advances in Computer-based Object Detection and Target Acquisition – Wei Zhang, Greg Zelinsky - 2004
2 MOCC: A Fast and Robust Correlation-Based Method for Interest Point Matching under Large Scale Changes – Feng Zhao, Qingming Huang, Hao Wang, Wen Gao - 2010
unknown title – Martin Winter, Horst Bischof, Malte Rasch, Wolfgang Maass - 2006
369 The 2005 pascal visual object classes challenge – Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frederic Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-taylor, Amos Storkey, Or Szedmak, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang - 2006
10 SURVEY OF APPEARANCE-BASED METHODS FOR OBJECT RECOGNITION – Peter M. Roth, Martin Winter - 2008
Electronic Letters on Computer Vision and Image Analysis 7(2):35-61, 2008 Representations for Cognitive Vision: A Review of Appearance-Based, Spatio-Temporal, and Graph-Based Approaches – Axel Pinz A, Horst Bischof B, Walter Kropatsch C, Gerald Schweighofer A - 2007
373 Local features and kernels for classification of texture and object categories: a comprehensive study – J. Zhang, S. Lazebnik, C. Schmid - 2007
Moghaddam, for accepting to be on my thesis defense committee. – Pierre Moreels, Jean Pallo, Josiane Zerubia - 2008
The Pyramid Match: Efficient Learning with Partial Correspondences – Kristen Grauman
The Pyramid Match: Efficient Learning with Partial Correspondences – unknown authors
22 Improving “bag-of-keypoints” image categorisation – J. D. R. Farquhar, Sandor Szedmak, Hongying Meng, John Shawe-taylor - 2005
Abstract Distinctive Feature Analysis of Natural Landmarks as a Front end for SLAM applications – Kai-ming Kiang, Richard Willgoss, Alan Blair
1157 A PERFORMANCE EVALUATION OF LOCAL DESCRIPTORS – Krystian Mikolajczyk, Cordelia Schmid - 2005
107 Generic Object Recognition with Boosting – Andreas Opelt, Michael Fussenegger, Axel Pinz, Peter Auer - 2006