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Pattern Recognition
Results: 1666

#	Item
161	Low Level Vision via Switchable Markov Random Fields Dahua Lin CSAIL, MIT John Fisher CSAIL, MIT Add to Reading List Source URL: dahua.me Language: English - Date: 2013-01-06 22:24:23 Statistics Artificial intelligence Computer vision Graphical models Machine learning Image processing Image segmentation Bayesian statistics Markov random field Conference on Computer Vision and Pattern Recognition Mixture model Noise reduction
162	COURSE OUTLINE FOR THE BASIC AND INTERMEDIATE LEVEL BPA COURSES Both courses are POST certified in Nevada. LEVEL 1 - BASIC BLOODSTAIN PATTERN RECOGNITION COURSE (40 hrs) Add to Reading List Source URL: www.scafo.org Language: English - Date: 2016-07-25 20:44:53 Blood Bloodstain pattern analysis Law enforcement International Association of Bloodstain Pattern Analysts Forensic science Science
163	Linear-time Detection of Non-linear Changes in Massively High Dimensional Time Series Hoang-Vu Nguyen◦ Jilles Vreeken◦ Add to Reading List Source URL: eda.mmci.uni-saarland.de Language: English - Date: 2016-01-28 05:19:57 Statistics Multivariate statistics Machine learning Dimension reduction Principal component analysis Numerical analysis Dimensionality reduction Curse of dimensionality KullbackLeibler divergence Divergence Pattern recognition Normal distribution
164	A deep-network solution towards model-less obstacle avoidance Lei Tai1 , Shaohua Li2 , Ming Liu1,2 Abstract— Obstacle avoidance is the core problem for mobile robots. Its objective is to allow mobile robots to explore Add to Reading List Source URL: ram-lab.com Language: English - Date: 2016-08-03 06:46:08 Computational neuroscience Artificial intelligence Cybernetics Neuroscience Artificial neural networks Formal sciences Machine learning Computer vision Convolutional neural network Deep learning Robotics Pattern recognition
165	FP6-GOCE-CTEXOCET/D EXtreme ecosystem studies in the deep OCEan: Technological Developments Integrating and Strengthening the European Research Area Global Change and Ecosystems Add to Reading List Source URL: www.ifremer.fr Language: English - Date: 2007-10-22 09:33:41 Vision Artificial intelligence Imaging Computer vision Image processing IEEE conferences Stereoscopy Visual servoing International Conference on Computer Vision Conference on Computer Vision and Pattern Recognition Mosaic 3D reconstruction
166	November 22, :19 WSPC/115-IJPRAIInternational Journal of Pattern Recognition and Artificial Intelligence Vol. 15, No–1250 Add to Reading List Source URL: debut.cis.nctu.edu.tw Language: English - Date: 2013-07-12 03:09:44 Image segmentation Signal processing Image processing Feature detection Vision Region growing Artificial intelligence Thresholding Wavelet Image histogram
167	Microsoft Word - The Role of Size Normalization on the Recognition Rate of Handwritten Numerals.doc Add to Reading List Source URL: www.dsi.unifi.it Language: English - Date: 2009-12-17 04:49:47 Artificial intelligence Computer vision Artificial intelligence applications MNIST database Computational neuroscience Automatic identification and data capture Machine learning Handwriting recognition Optical character recognition Pattern recognition Support vector machine Artificial neural network
168	© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promo Add to Reading List Source URL: www.wjscheirer.com Language: English - Date: 2012-11-13 20:10:21 Learning Machine learning Artificial intelligence Statistical classification Support vector machine Kernel method Supervised learning Pattern recognition Semi-supervised learning Positive-definite kernel Binary classification Decision boundary
169	International Journal of Pattern Recognition and Artiﬁcial Intelligence Vol. 23, No–353 c World Scientiﬁc Publishing Company Add to Reading List Source URL: debut.cis.nctu.edu.tw Language: English - Date: 2013-07-12 03:09:44 Video compression Frames of reference Reference frame Sprite Moving frame Frame Video Electromagnetism Software development
170	Difficult Detection: A Comparison of Two Different Approaches to Eye Detection for Unconstrained Environments Walter J. Scheirer1,2 Anderson Rocha3 Add to Reading List Source URL: vast.uccs.edu Language: English - Date: 2010-10-23 12:03:48 Feature detection Artificial intelligence Face recognition Learning Surveillance Pattern recognition FERET Facial recognition system ViolaJones object detection framework Histogram of oriented gradients

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