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81	DETECTING UNSAFE DRIVING PATTERNS USING DISCRIMINATIVE LEARNING Yue Zhou†, Wei Xu‡, Huazhong Ning†, Yihong Gong‡, Thomas S. Huang† †Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61 Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2008-05-05 15:25:20 Machine learning Conditional random field Pattern recognition Supervised learning Hidden Markov model Support vector machine Semi-supervised learning Expectationmaximization algorithm Mixture model Artificial neural network Viterbi algorithm
82	C:/usr/ztu/Document/paper/Journal/2008/PAMI_AutoContext/revision/pami_auto_revision_minor.dvi Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2009-07-09 19:18:59 Machine learning Image segmentation Conditional random field Medical image computing AdaBoost
83	Concise Integer Linear Programming Formulations for Dependency Parsing ∗ Andr´e F. T. Martins∗† Noah A. Smith∗ Eric P. Xing∗ School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-07-30 17:51:06 Operations research Compiler construction Formal languages Machine learning Dependency grammar Natural language parsing LL parser Integer programming Parsing Linear programming Context-free grammar Conditional random field
84	Microsoft PowerPoint - class-5-out.ppt [Compatibility Mode] Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2014-09-09 17:58:53 Graphical models Probability theory Belief propagation Coding theory Markov random field Factor graph Variable elimination Tree decomposition Logarithm Centrality
85	Calibrated Structured Prediction Percy Liang Department of Computer Science Stanford University Stanford, CA 94305 Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2015-10-31 00:27:55 Statistical classification Machine learning Bayesian statistics Marginal distribution Probability theory Expected value Joint probability distribution Platt scaling Support vector machine Conditional random field Mutual information Structured support vector machine
86	Sensor Substitution for Video-based Action Recognition Christian Rupprecht∗,1,2 , Colin Lea∗,2 Federico Tombari1,3 , Nassir Navab1,2 , Gregory D. Hager2 Abstract— There are many applications where domainspecific se Add to Reading List Source URL: campar.in.tum.de Language: English - Date: 2016-03-04 11:42:56 Computational neuroscience Artificial neural networks Computer vision Convolutional neural network Deep learning Conditional random field Robotics Activity recognition Optical flow Cellular neural network
87	UNIVERSITY OF CALIFORNIA RIVERSIDE Modeling Social and Temporal Context for Video Analysis A Dissertation submitted in partial satisfaction Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2015-07-02 20:52:00 Computer vision Robot control Artificial intelligence Image processing Match moving Video content analysis Tracking Conditional random field Pose
88	Learning Minimal Latent Directed Information Trees Add to Reading List Source URL: coleman.ucsd.edu Language: English Graphical models Probability theory Statistical models Graph theory Markov random field Binary tree Graph
89	Hindi Named Entity Recognizer for NER task of FIRE 2013 Rahul Sharnagat and Pushpak Bhattacharyya IIT Bombay, Mumbai, India {, } Add to Reading List Source URL: www.isical.ac.in Language: English - Date: 2013-11-28 04:40:00 Conditional random field Machine learning Named-entity recognition