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Image segmentation
Results: 2050

#	Item
481	Multiscale, Multigranular Statistical Image Segmentation Eric D. Kolaczyk, Junchang Ju, and Sucharita Gopal∗ Abstract We consider a problem in image segmentation, in which the goal is to determine and label a relativel Add to Reading List Source URL: people.bu.edu Language: English - Date: 2007-10-09 09:57:37 Image processing Region growing
482	Probabilistic Classification of Image Regions using Unsupervised and Supervised Learning Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:49:42 Pattern recognition Segmentation Mixture model Minimum description length Generative model Unsupervised learning Expectation–maximization algorithm Statistical classification Supervised learning Statistics Machine learning Cluster analysis
483	Journal of Vision):6, 1–13 http://journalofvision.org Add to Reading List Source URL: www.psych.nyu.edu Language: English - Date: 2008-07-22 11:20:06 Image processing Segmentation Principal component analysis Cosmic distance ladder Market segmentation Cluster chemistry M-estimator Statistics Multivariate statistics Data analysis
484	Articulated Motion Discovery using Pairs of Trajectories Luca Del Pero1 1 Susanna Ricco2 Add to Reading List Source URL: www.cv-foundation.org Language: English - Date: 2015-05-25 21:19:04 Vision Imaging Image processing Histogram of oriented gradients Kinematics Segmentation Trajectory One-shot learning Range of a projectile Physics Ballistics Computer vision
485	A Hierarchical Field Framework for Unified Context-Based Classification Sanjiv Kumar and Martial Hebert The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA, {skumar, hebert}@ri.cmu.edu Abstract Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:50:20 Vision Imaging Bayesian statistics Object recognition Segmentation Maximum likelihood Finitary relation Bayesian network One-shot learning Computer vision Image processing Statistics
486	Keynote: Automatic Detection and Tracking of Pedestrians in Videos with Various Crowd Densities Afshin Dehghan, Haroon Idrees, Amir Roshan Zamir and Mubarak Shah* Computer Vision Lab, University of Central Florida {adeh Add to Reading List Source URL: vision.eecs.ucf.edu Language: English - Date: 2012-08-06 10:44:41 Vision Segmentation Computer vision Optics Image processing Imaging Optical flow
487	arXiv:1412.1441v2 [cs.CV] 26 FebScalable, High-Quality Object Detection Christian Szegedy Google Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-02-26 20:57:33 Artificial intelligence Imaging Computational neuroscience Machine learning Network architecture Neural network Statistical classification Segmentation Object recognition Computer vision Image processing Vision
488	General Road Detection Algorithm, a Computational Improvement Bruno Ricaud, Bogdan Stanciulescu, Amaury Breheret To cite this version: Bruno Ricaud, Bogdan Stanciulescu, Amaury Breheret. General Road Detection Algorithm, Add to Reading List Source URL: hal-mines-paristech.archives-ouvertes.fr Language: English - Date: 2015-06-17 03:48:53 Algorithm Mathematics Applied mathematics Artificial intelligence Histogram of oriented gradients Image processing Computer vision Segmentation
489	Category: visual processing and pattern recognition Preference: oral 1 Add to Reading List Source URL: snowbird.djvuzone.org Language: English - Date: 2010-03-27 10:21:25 Imaging Segmentation Pixel Binary image Image processing Computer graphics Digital geometry
490	Man-Made Structure Detection in Natural Images using a Causal Multiscale Random Field Sanjiv Kumar and Martial Hebert The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA, {skumar, hebert}@ri.cmu. Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:50:22 Statistics Vision Segmentation Edge detection Feature Thresholding Pattern recognition Histogram Image processing Computer vision Imaging

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