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Contextual image classification
Results: 9

#	Item
1	Multi-Class Object Localization by Combining Local Contextual Interactions Carolina Galleguillos† Brian McFee† Serge Belongie† Gert Lanckriet‡ † Computer Science and Engineering Department Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Machine learning Learning Artificial intelligence Statistical classification Image processing Data mining Multiple kernel learning Image segmentation Kernel K-nearest neighbors algorithm Conditional random field Outline of object recognition
2	570 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 20, NO. 2, FEBRUARY 2011 Contextual Object Localization With Multiple Kernel Nearest Neighbor Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:27 Machine learning Artificial intelligence Learning Image processing Feature detection K-nearest neighbors algorithm Statistical classification Multiple kernel learning Kernel Image segmentation Outline of object recognition Positive-definite kernel
3	570 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 20, NO. 2, FEBRUARY 2011 Contextual Object Localization With Multiple Kernel Nearest Neighbor Add to Reading List Source URL: bmcfee.github.io Language: English - Date: 2015-03-31 11:15:28 Imaging Image processing Machine learning K-nearest neighbor algorithm Segmentation Object recognition Kernel Statistical classification Linux kernel Artificial intelligence Computer vision Vision
4	Optimal probabilistic relaxation labeling Ian Poole Medical Research Council Human Genetics Unit Western General Hospital Edinburgh EH4 2XU • Add to Reading List Source URL: www.bmva.org Language: English - Date: 2013-02-28 12:11:23 Contextual image classification Estimation theory Statistics Applied mathematics Image processing Computer vision Artificial intelligence
5	Integrating Contextual Information with per-Pixel Classification for Improved Land Cover Classification J. Stuckens,* P. R. Coppin* and M. E. Bauer† A Add to Reading List Source URL: land.umn.edu Language: English - Date: 2014-01-14 16:27:13 Vision Segmentation Connected-component labeling Region growing Edge detection Statistical classification ECognition Thresholding Spectral signature Image processing Computer graphics Imaging
6	Selective Hidden Random Fields: Exploiting Domain-Specific Saliency for Event Classification ∗ Vidit Jain∗ Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-05-14 15:13:54 Vision Segmentation Pixel Object recognition Image resolution ECognition Contextual image classification Bag of words model in computer vision Image processing Computer vision Imaging
7	Statistics for Image Modeling CMSC 426 Motivation To do vision, we need to model the world. For example, in edge detection, we used a qualitative model based on generalities about geometry and objects, which told us that Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2005-09-27 09:40:18 Statistics Pixel Prior probability Bilinear interpolation Contextual image classification Image processing Computer graphics Visual arts
8	Problem Set 7 CMSC 426 Assigned Tuesday April 27, Due Tuesday, May[removed]Stereo Correspondence. For this problem set you will solve the stereo correspondence problem using dynamic programming, as described in class. The Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2010-04-27 10:05:44 Vision Pixel Template matching Contextual image classification Image processing Computer graphics Imaging
9	Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Clément Farabet1,2 Camille Couprie1 Add to Reading List Source URL: arxiv.org Language: English - Date: 2012-02-12 20:13:30 Vision Optics Segmentation Object recognition Linear classifier Watershed Image gradient Contextual image classification Image processing Computer vision Imaging