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Pattern Recognition
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881	Local Pattern Detection and Clustering Are there substantive differences? Frank H¨ oppner University of Applied Sciences Braunschweig/Wolfenb¨ uttel Add to Reading List Source URL: public.fh-wolfenbuettel.de Language: English - Date: 2007-12-03 03:22:38 Data analysis Formal sciences Data mining Pattern recognition OPTICS algorithm K-means clustering Unsupervised learning Mixture model Local outlier factor Statistics Machine learning Cluster analysis
882	Pervasive Multimedia for Autism Intervention S. Venkatesh,† S. Greenhill,‡ D. Phung,† B. Adams,‡ and Thi Duong† † Centre for Pattern Recognition and Data Analytics (PRaDA), School of Information Technology, D Add to Reading List Source URL: www.deakin.edu.au Language: English - Date: 2012-07-04 23:14:21 Psychiatry Developmental psychology Autism Applied psychology Cognitive behavioral therapy Applied behavior analysis Reinforcement Learning Play therapy Psychology Behaviorism Mind
883	Information Theory, Pattern Recognition and Neural Networks Handout 2 February 3, [removed] Add to Reading List Source URL: www.inference.phy.cam.ac.uk Language: English - Date: 2009-02-10 16:18:54 Information Statistical theory Knowledge Cybernetics Information Age Entropy Arithmetic coding Huffman coding Data compression Information theory Formal sciences Science
884	Information Theory, Pattern Recognition and Neural Networks Part III Physics, January 2007 Please work on the following exercise before lecture 2. The weighing problem Add to Reading List Source URL: www.inference.phy.cam.ac.uk Language: English - Date: 2007-01-25 12:38:17 Mathematics Discrete mathematics Noisy-channel coding theorem Typical set Binary symmetric channel Error detection and correction Binary erasure channel Entropy Z-channel Information theory Coding theory Information
885	Discovery of Human-Competitive Image Texture Feature Extraction Programs Using Genetic Programming Brian Lam1 and Vic Ciesielski1 School of Computer Science and Information Technology RMIT University Add to Reading List Source URL: www.genetic-programming.org Language: English - Date: 2006-11-17 21:24:05 Artificial intelligence Image texture Robert Haralick Co-occurrence matrix Texture mapping Pattern recognition Feature Science Segmentation Computer vision Image processing Vision
886	Information Theory, Pattern Recognition and Neural Networks Part III Physics & Engineering, January 2009 Please work on the following exercise before lecture 2. The weighing problem You are given 12 balls, all equal in Add to Reading List Source URL: www.inference.phy.cam.ac.uk Language: English - Date: 2009-02-10 16:18:57 Mathematics Noisy-channel coding theorem Typical set Binary symmetric channel Error detection and correction Binary erasure channel Entropy Z-channel Ban Information theory Coding theory Information
887	2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops An Introduction to the 3rd Workshop on Egocentric (First-person) Vision Steve Mann, Kris M. Kitani, Yong Jae Lee, M. S. Ryoo, Alireza Fathi Abstr Add to Reading List Source URL: www.wearcam.org Language: English - Date: 2014-10-24 01:10:29 Surveillance French words and phrases Crime prevention Sociology Civil disobedience Sousveillance Steve Mann Wearable computer Activity recognition Technology Security National security
888	Information Theory, Pattern Recognition and Neural Networks Part III Physics, January 2008 Please work on the following exercise before lecture 2. The weighing problem You are given 12 balls, all equal in weight except Add to Reading List Source URL: www.inference.phy.cam.ac.uk Language: English - Date: 2008-02-13 08:28:05 Mathematics Discrete mathematics Noisy-channel coding theorem Typical set Binary symmetric channel Error detection and correction Entropy Binary erasure channel Z-channel Information theory Coding theory Information
889	Information Theory, Pattern Recognition and Neural Networks Handout 2 February 23, 2007 Reading associated with the current lectures – Chapters 3, 21 (especially sec 21.2), and 22 (especially sec 22.1), and 27. Homewor Add to Reading List Source URL: www.inference.phy.cam.ac.uk Language: English - Date: 2007-02-23 05:13:00 Econometrics Market research Measurement Psephology Entropy Interval Information theory Statistics Statistical inference Confidence interval
890	Stacked Sequential Learning William W. Cohen Center for Automated Learning & Discovery School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.ijcai.org Language: English - Date: 2005-07-11 15:33:24 Learning Conditional random field Theoretical computer science Neural networks Maximum-entropy Markov model Pattern recognition Hidden Markov model Perceptron Machine learning Markov models Artificial intelligence

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