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Machine vision
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#	Item
381	Binatix, Inc. Snapshot  Binatix develops Sense Making software based on machine learning algorithms that mimic the human brain Add to Reading List Source URL: www.iarpa.gov Language: English - Date: 2014-03-06 18:49:35 Dimension reduction Feature extraction Pattern recognition HM Artificial intelligence Science Statistics Computer vision Formal sciences Machine learning
382	Methods and Applications for Distance Based ANN Training Christoph Lassner, Rainer Lienhart Multimedia Computing and Computer Vision Lab Augsburg University, Universit¨atsstr. 6a, 86159 Augsburg, Germany Email: {christo Add to Reading List Source URL: www.multimedia-computing.de Language: English - Date: 2013-12-13 13:30:03 Statistical classification Computational statistics Neural networks Support vector machine Dimension reduction Artificial neural network Anomaly detection Principal component analysis Pattern recognition Statistics Machine learning Multivariate statistics
383	The OzHelp Foundation is a workplace based early intervention suicide prevention and social capacity building program. It is built on a vision to enhance the resilience of workers, and strengthen the influence and suppor Add to Reading List Source URL: www.gamblingandracing.act.gov.au Language: English - Date: 2014-04-27 21:35:16 Gambling Behavior Casino Personal life Suicide Slot machine Psychological resilience Stop Predatory Gambling Foundation Human behavior Behavioral addiction Problem gambling
384	Discriminative Decorrelation for Clustering and Classification? Bharath Hariharan1 , Jitendra Malik1 , and Deva Ramanan2 1 Univerisity of California at Berkeley, Berkeley, CA, USA Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-07-31 09:01:30 Data analysis Computer vision Machine learning Linear classifier Linear discriminant analysis Principal component analysis Whitening transformation Support vector machine Normal distribution Statistics Multivariate statistics Statistical classification
385	Constrained Parametric Min-Cuts for Automatic Object Segmentation Joao Carreira and Cristian Sminchisescu Computer Vision and Machine Learning Group, Institute for Numerical Simulation, Faculty of Mathematics and Natural Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-06-04 23:24:21 Segmentation Artificial intelligence Market segmentation GrabCut Memory segmentation Object recognition Image segment Segmentation-based object categorization Graph cuts in computer vision Image processing Computer vision Vision
386	¨ t Augsburg Universita KAB 0 H Add to Reading List Source URL: www.multimedia-computing.de Language: English - Date: 2011-06-17 18:02:53 Image processing Categorical data Probabilistic latent semantic analysis Computer vision Latent Dirichlet allocation Mixture model Expectation–maximization algorithm Statistical model Difference of Gaussians Statistics Machine learning Statistical natural language processing
387	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
388	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
389	Technical Report TR[removed]June 2010 Computer Vision and Machine Learning Group Institute of Numerical Simulation University of Bonn Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-06-04 23:25:01 Segmentation Market segmentation Clique problem Tessellation Clique Applied mathematics Marketing Tiling Mathematics Image processing
390	Object Recognition by Ranking Figure-Ground Hypotheses Joao Carreira, Fuxin Li, Cristian Sminchisescu Computer Vision and Machine Learning Group, INS, University of Bonn We focus on designing methods that can segment ima Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-06-04 23:25:03 Market segmentation Memory segmentation Object recognition Segment Artificial intelligence Range segmentation Image processing Computer vision Segmentation

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