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131	Semantic Segmentation using Regions and Parts Pablo Arbel´aez1 , Bharath Hariharan1 , Chunhui Gu1,2 , Saurabh Gupta1 , Lubomir Bourdev1,3,† and Jitendra Malik1 1 University of California, Berkeley - Berkeley, CA 94720 Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-04-06 12:41:08 Vision Optics Segmentation Object recognition Range segmentation One-shot learning Image processing Computer vision Imaging
132	[Screen shot of a Word document] Daniel: And so on. So the last one I’m going to talk about – we’re at 10:30 – the last thing I’m going to talk about, then we’ll take a break, and then we’ll come back, is Add to Reading List Source URL: www.finance.gov.au Language: English - Date: 2013-07-02 19:43:17 Hyperlink Computer icon Web page Humanities World Wide Web Click consonant Consonants
133	I N V A N DIEMAN’s L A N D[removed]fellow, who no doubt had tasted stray venison at home, shot one of them -the other got safe back. I wish we could have caught the Add to Reading List Source URL: www.nla.gov.au Language: English - Date: 1998-12-16 02:15:56 England The Golden Speech Henry Couchman Speeches British people Elizabeth I of England
134	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
135	Semantic Segmentation using Regions and Parts Pablo Arbel´aez1 , Bharath Hariharan1 , Chunhui Gu1,2 , Saurabh Gupta1 , Lubomir Bourdev1,3,† and Jitendra Malik1 1 University of California, Berkeley - Berkeley, CA 94720 Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-04-06 12:41:08 Vision Optics Segmentation Object recognition Range segmentation One-shot learning Image processing Computer vision Imaging
136	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
137	DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue∗ Yangqing Jia∗ Oriol Vinyals Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-11-25 23:03:53 Mind One-shot learning Support vector machine Perceptual learning Cross-validation Machine learning Statistics Learning Artificial intelligence
138	Discriminatively Activated Sparselets Ross Girshick∗ Hyun Oh Song∗ Trevor Darrell University of California, Berkeley, Berkeley, CA 94720. Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-05-01 18:04:34 Statistical classification Abstract algebra Linear algebra Machine learning Numerical linear algebra Linear classifier Support vector machine One-shot learning Vector space Algebra Mathematics Statistics
139	Understanding Objects in Detail with Fine-grained Attributes Andrea Vedaldi1 Siddharth Mahendran2 Ross Girshick5 Juho Kannala6 3 Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-04-28 08:27:30 Computer vision One-shot learning Attribute Object recognition LabelMe Caltech 101 Vision Imaging Artificial intelligence
140	Accurate Object Localization with Shape Masks Marcin Marszałek Cordelia Schmid INRIA, LEAR - LJK 665 av de l’Europe, 38330 Montbonnot, France [removed] [removed] Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2007-04-28 15:28:25 Image processing Imaging Object recognition Segmentation Mask Cluster analysis Pedestrian detection Thresholding One-shot learning Statistics Computer vision Vision