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Object recognition
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#	Item
811	Object class recognition and localization using sparse features with limited receptive fields ∗ Jim Mutch † Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Cambridge, MA Add to Reading List Source URL: www.mit.edu Language: English - Date: 2008-04-17 16:44:02 Statistics Image processing California Institute of Technology Caltech 101 Object recognition Feature selection Support vector machine Template matching Filter Computer vision Vision Imaging
812	Learning Hyper-Features for Visual Identification Andras Ferencz Erik G. Learned-Miller Jitendra Malik Computer Science Division, EECS Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:19 One-shot learning Artificial intelligence Object recognition Prior probability Patch Kullback–Leibler divergence Mutual information Statistics Computer vision Probability and statistics
813	CBMM Memo No[removed]April 23, 2014 The invariance hypothesis implies domain-specific regions in visual cortex Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2014-05-10 08:48:57 Computer vision Cognitive neuroscience Vision Object recognition Visual cortex Symmetry Invariant Greeble Recall Cognitive science Mind Neuroscience
814	Combining Local and Global Image Features for Object Class Recognition Dimitri A. Lisin, Marwan A. Mattar, Matthew B. Blaschko, Mark C. Benfield , Erik G. Learned-Miller Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:30 Statistical classification Parts of speech Classifier Unified Modeling Language Support vector machine Learning classifier system Ensemble learning Boosting methods for object categorization Random subspace method Statistics Machine learning Artificial intelligence
815	Learning invariant representations and applications to face verification Qianli Liao, Joel Z Leibo, and Tomaso Poggio Center for Brains, Minds and Machines McGovern Institute for Brain Research Massachusetts Institute of Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2013-11-09 19:01:59 Invariant Object recognition 3D single object recognition Affine transformation Mathematics Computer vision Geometry Artificial intelligence
816	Learning to discount transformations as the computational goal of visual cortex Joel Z Leibo Jim Mutch Tomaso Poggio Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2011-06-17 11:12:15 Computer vision Cognitive neuroscience Conservation laws CBCL Massachusetts Institute of Technology Vision Object recognition Invariant Tomaso Poggio Neuroscience Artificial intelligence Optics
817	Learning Class-Specific Image Transformations with Higher-Order Boltzmann Machines Gary B. Huang Erik Learned-Miller University of Massachusetts Amherst Amherst, MA Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2010-06-07 15:39:09 Imaging Object recognition Supervised learning Pose Function Symmetry Computer vision Artificial intelligence Vision
818	Computer Science and Artificial Intelligence Laboratory Technical Report MIT-CSAIL-TR[removed]CBCL-312 June 18, 2013 Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2013-06-20 16:39:10 Imaging Object recognition Pose Extrastriate body area Invariant Perception Scale-invariant feature transform Kadir–Brady saliency detector Computer vision Vision Optics
819	sfn_2010_initial_invariance_JZL Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2011-02-21 19:46:17 S2 Invariant Artificial intelligence Mathematics Computing Computer vision FaceGen Object recognition
820	sfn_2010_initial_invariance_JZL Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2011-02-21 19:46:17 S2 Invariant Artificial intelligence Mathematics Computing Computer vision FaceGen Object recognition

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