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244 Caltech-256 object category dataset – G Griffin, A Holub, P Perona - 2007
619 Scalable Recognition with a Vocabulary Tree – David Nistér, Henrik Stewénius - 2006
1664 Histograms of Oriented Gradients for Human Detection – Navneet Dalal, Bill Triggs - 2005
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366 The pyramid match kernel: Discriminative classification with sets of image features – Kristen Grauman, Trevor Darrell - 2005
459 Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories – Li Fei-fei - 2004
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226 One-shot learning of object categories – Li Fei-fei, Rob Fergus, Pietro Perona - 2006
665 Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope – Aude Oliva, Antonio Torralba - 2001
177 Creating efficient codebooks for visual recognition – Frederic Jurie, Bill Triggs - 2005
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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
132 On feature combination for multiclass object classication – Peter Gehler, Sebastian Nowozin
238 80 million tiny images: a large dataset for non-parametric object and scene recognition – Antonio Torralba , Rob Fergus, William T. freeman
122 Lost in quantization: Improving particular object retrieval in large scale image databases – James Philbin, Michael Isard, Josef Sivic, Andrew Zisserman - 2008
147 Learning the discriminative powerinvariance trade-off – Manik Varma - 2007