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Robert Fergus :
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Robert Fergus , Pietro Perona , Andrew Zisserman Object Class Recognition by Unsupervised Scale-Invariant Learning. [Citation Graph (0, 0)][DBLP ] CVPR (2), 2003, pp:264-271 [Conf ] Robert Fergus , Pietro Perona , Andrew Zisserman A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition. [Citation Graph (0, 0)][DBLP ] CVPR (1), 2005, pp:380-387 [Conf ] Robert Fergus , Pietro Perona , Andrew Zisserman A Visual Category Filter for Google Images. [Citation Graph (0, 0)][DBLP ] ECCV (1), 2004, pp:242-256 [Conf ] Fei-Fei Li , Robert Fergus , Pietro Perona A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories. [Citation Graph (0, 0)][DBLP ] ICCV, 2003, pp:1134-1141 [Conf ] Robert Fergus , Fei-Fei Li , Pietro Perona , Andrew Zisserman Learning Object Categories from Google's Image Search. [Citation Graph (0, 0)][DBLP ] ICCV, 2005, pp:1816-1823 [Conf ] Robert Fergus , Andrew Zisserman , Pietro Perona Sampling Methods for Unsupervised Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 2004, pp:- [Conf ] Robert Fergus , Pietro Perona , Andrew Zisserman A Sparse Object Category Model for Efficient Learning and Complete Recognition. [Citation Graph (0, 0)][DBLP ] Toward Category-Level Object Recognition, 2006, pp:443-461 [Conf ] Robert Fergus , Pietro Perona , Andrew Zisserman Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition. [Citation Graph (0, 0)][DBLP ] International Journal of Computer Vision, 2007, v:71, n:3, pp:273-303 [Journal ] Fei-Fei Li , Robert Fergus , Pietro Perona One-Shot Learning of Object Categories. [Citation Graph (0, 0)][DBLP ] IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:4, pp:594-611 [Journal ] Robert Fergus , Barun Singh , Aaron Hertzmann , Sam T. Roweis , William T. Freeman Removing camera shake from a single photograph. [Citation Graph (0, 0)][DBLP ] ACM Trans. Graph., 2006, v:25, n:3, pp:787-794 [Journal ] Anat Levin , Robert Fergus , Frédo Durand , William T. Freeman Image and depth from a conventional camera with a coded aperture. [Citation Graph (0, 0)][DBLP ] ACM Trans. Graph., 2007, v:26, n:3, pp:70- [Journal ] Small codes and large image databases for recognition. [Citation Graph (, )][DBLP ] Object Recognition by Scene Alignment. [Citation Graph (, )][DBLP ] Spectral Hashing. [Citation Graph (, )][DBLP ] Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories. [Citation Graph (, )][DBLP ] Search in 0.004secs, Finished in 0.005secs