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Pattern Recognition
Results: 1666

#	Item
691	The Twenty-Sixth IEEE Conference on Computer Vision and Pattern Recognition Call for Papers CVPR 2013 Chairs Add to Reading List Source URL: www.pamitc.org Language: English - Date: 2012-09-27 19:18:21 International Conference on Remote Engineering and Virtual Instrumentation Conference on Computer Vision and Pattern Recognition Science
692	Multi-Task Learning of Facial Landmarks and Expression Terrance Devries1 , Kumar Biswaranjan2 , and Graham W. Taylor1 1 2 Add to Reading List Source URL: www.uoguelph.ca Language: English - Date: 2014-12-09 21:24:19 Face recognition Science Computational neuroscience Affective computing Face Facial recognition system Pattern recognition Backpropagation Autoencoder Neural networks Machine learning Artificial intelligence
693	CHANDRA KAMBHAMETTU Dr. Chandra Kambhamettu is a Full Professor of Computer Science department at the University of Delaware, where he directs the Video/Image Modeling and Synthesis (VIMS) group. His research interests Add to Reading List Source URL: www.eecis.udel.edu Language: English - Date: 2013-11-04 13:51:43 Image analysis Artificial intelligence Academia Science Thomas Huang Conference on Computer Vision and Pattern Recognition IEEE Transactions on Pattern Analysis and Machine Intelligence
694	EM for Perceptual Coding and Reinforcement Learning Tasks Yuri Ivanov Bruce Blumberg Alex Pentland Add to Reading List Source URL: characters.media.mit.edu Language: English - Date: 2003-06-30 17:30:06 Estimation theory Expectation–maximization algorithm Missing data Reinforcement learning Mixture model Q-learning Algorithm Pattern recognition Statistics Machine learning Computational statistics
695	Webpage Understanding: an Integrated Approach Jun Zhu ∗ Dept. of Comp. Sci. & Tech. Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2007-06-15 03:38:48 Mathematics Statistics Machine learning Artificial intelligence Probability theory Conditional random field Hidden Markov model Pattern recognition Markov random field Theoretical computer science Graphical models Applied mathematics
696	SPIED: Stanford Pattern-based Information Extraction and Diagnostics Sonal Gupta Christopher D. Manning Department of Computer Science Stanford University {sonal, manning}@cs.stanford.edu Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2014-06-26 22:01:01 Natural language processing Data analysis Data mining Formal sciences Information extraction Entity-relationship model Machine learning Biomedical text mining Named-entity recognition Science Computational linguistics Knowledge
697	Computer Science “Professor Zhou’s book is a comprehensive introduction to ensemble methods in machine learning. It reviews the latest research in this exciting area. I learned a lot reading it!” —Thomas G. Diet Add to Reading List Source URL: www.islab.ntua.gr Language: English - Date: 2015-02-05 08:23:09 Pattern recognition Supervised learning Semi-supervised learning Neural network Data mining Random forest Computational learning theory Ensemble learning Markov chain Monte Carlo Machine learning Artificial intelligence Learning
698	CHESS CLASSES TERM 2, 2015 Children have great fun playing chess! Chess is a wonderful game which enhances skills such as: Problem Solving, Pattern Recognition, Analytical, Visualisation, Concentration and Social Skills. Add to Reading List Source URL: www.rangeview.vic.edu.au Language: English - Date: 2015-03-23 23:01:13 Computer chess Games Outline of chess Chess
699	Ad Click Prediction: a View from the Trenches H. Brendan McMahan, Gary Holt, D. Sculley, Michael Young, Dietmar Ebner, Julian Grady, Lan Nie, Todd Phillips, Eugene Davydov, Daniel Golovin, Sharat Chikkerur, Dan Liu, Mart Add to Reading List Source URL: static.googleusercontent.com Language: English - Date: 2013-08-12 13:25:40 Cross-validation Poisson regression Pattern recognition Feature selection Least squares Regression analysis Regularization Gradient boosting Book:Machine Learning - The Complete Guide Statistics Machine learning Supervised learning
700	Determination and Detection of Features in Patterns Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2007-10-21 18:10:50 Artificial intelligence Learning ADALINE Pattern recognition Retina Feedforward neural network Types of artificial neural networks Neural networks Cybernetics Perceptron

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