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Histogram of oriented gradients
Results: 160

#	Item
71	Pose Pooling Kernels for Sub-category Recognition Ning Zhang ICSI & UC Berkeley Ryan Farrell ICSI & UC Berkeley Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-11-25 23:02:39 Imaging One-shot learning Visual descriptors Support vector machine K-nearest neighbor algorithm Kernel Feature Scale-invariant feature transform Histogram of oriented gradients Computer vision Artificial intelligence Vision
72	IEEE TRANSACTION ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (PAMI), REVISED AUGUST[removed]Free-Form Region Description with Second-Order Pooling Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-09-28 00:02:35 Vision Optics Visual descriptors Feature Segmentation Matrix MPEG-7 Scale-invariant feature transform Histogram of oriented gradients Computer vision Image processing Imaging
73	Practical 3-D Object Detection Using Category and Instance-level Appearance Models Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell Abstract— Effective ro Add to Reading List Source URL: sergeykarayev.com Language: English - Date: 2015-01-07 04:16:21 Surveillance Segmentation Object recognition Histogram of oriented gradients Part-based models Pedestrian detection Object detection Range segmentation Longuet-Higgins Prize Computer vision Vision Image processing
74	Heavy-tailed Distances for Gradient Based Image Descriptors Yangqing Jia and Trevor Darrell UC Berkeley EECS and ICSI {jiayq,trevor}@eecs.berkeley.edu Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-10-18 17:47:37 Estimation theory Normal distribution Histogram of oriented gradients Kullback–Leibler divergence Maximum likelihood Laplace distribution Variance One-shot learning Statistics Statistical theory Computer vision
75	A Category-Level 3-D Object Dataset: Putting the Kinect to Work Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell UC Berkeley and Max-Plank-Institute for Informati Add to Reading List Source URL: sergeykarayev.com Language: English - Date: 2015-01-07 04:16:21 Imaging Histogram of oriented gradients Kinect Object recognition Caltech 101 Computer vision Artificial intelligence Vision
76	Training deformable part models with decorrelated features Ross Girshick and Jitendra Malik UC Berkeley {rbg, malik}@eecs.berkeley.edu Abstract Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-10-14 17:32:54 Multivariate statistics Linear discriminant analysis Histogram of oriented gradients Support vector machine Expectation–maximization algorithm Filter Estimation theory Statistics Statistical classification Signal processing
77	Detecting Objects using Deformation Dictionaries Bharath Hariharan UC Berkeley C. Lawrence Zitnick Microsoft Research Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-04-10 18:06:24 Materials science Deformation Plasticity Part-based models Histogram of oriented gradients Mechanics Physics Solid mechanics
78	An Additive Latent Feature Model for Transparent Object Recognition Mario Fritz UC Berkeley Gary Bradski Willow Garage Add to Reading List Source URL: sergeykarayev.com Language: English - Date: 2015-01-07 04:16:21 Statistics Vision Object recognition Histogram of oriented gradients Transparency and translucency Latent Dirichlet allocation Probabilistic latent semantic analysis Transparency Topic model Statistical natural language processing Artificial intelligence Computer vision
79	A Category-Level 3-D Object Dataset: Putting the Kinect to Work Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell UC Berkeley and Max-Plank-Institute for Informati Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-07-28 19:03:14 Imaging Histogram of oriented gradients Kinect Object recognition Caltech 101 Computer vision Artificial intelligence Vision
80	Pedestrian Detection Combining RGB and Dense LIDAR Data Cristiano Premebida, Jo˜ao Carreira, Jorge Batista and Urbano Nunes Abstract— Why is pedestrian detection still very challenging in realistic scenes? How much wo Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-06-30 01:38:34 Imaging Surveillance Histogram of oriented gradients LIDAR Pedestrian detection Object detection Stereoscopy Object recognition Image processing Computer vision Vision Optics

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