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- ...ould focus on the ones related to the several machine learning and pattern recognition techniques related to the course. Please, follow the links below to more in == Pattern recognition related tutorials ==2 KB (241 words) - 23:32, 11 March 2008
- ...It will be valuable for understanding some of the applications of pattern recognition413 B (53 words) - 23:42, 11 March 2008
- ...A great reference if you are interested in the mathematics behind pattern recognition479 B (60 words) - 23:43, 11 March 2008
- One of the three classical books on pattern recognition. A great reference if you are going to be using the algorithms395 B (51 words) - 23:45, 11 March 2008
- =Official reference for [[ECE662]]: "Pattern Recognition Theory and Decision Making Processes".= ...or the course. A great reference if you are going to be developing pattern recognition algorithms917 B (96 words) - 05:06, 25 August 2010
- A set of journals on pattern recognition and related areas is listed. ...tem.c5efb9b8ade9096b8a9ca0108bcd45f3/index.jsp?&pName IEEE Transactions on Pattern Analysis and Machine Intelligence]1 KB (178 words) - 11:46, 16 March 2008
- ===IEEE Pattern Recognition Conferences 2008=== * [http://www.icpr2008.org/ 19th International Conference on Pattern Recognition, Tampa 2008]532 B (64 words) - 12:00, 16 March 2008
- ==== ''A good review paper on Statistical Pattern Recognition:'' ==== ...ang Mao, "Statistical Pattern Recognition: A Review," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 1, pp. 4-37, Jan., 200039 KB (5,715 words) - 10:52, 25 April 2008
- ...ating parameters that are the center of a heated debate within the pattern recognition community. These methods are Maximum Likelihood Estimation (MLE) and Bayes2 KB (287 words) - 10:39, 20 May 2013
- ...tioning the field, please explain in detail how a specific tool of pattern recognition can be used in research. * automatic speech recognition6 KB (905 words) - 12:18, 28 April 2008
- ...variables approximate the normal distribution. So, considering the pattern recognition case, there will be very large set of feature vectors and classes, and inde2 KB (247 words) - 08:32, 10 April 2008
- Here you can find relevant information on how to implement Pattern Recognition projects using Scilab. ...page=displayContribution&fileID=194 Scilab Toolbox especialized on Pattern Recognition -- Presto-Box]3 KB (379 words) - 10:20, 20 March 2008
- [[Category:pattern recognition]]1 KB (172 words) - 11:08, 10 June 2013
- ...d achievements, is to help us to have an insight on how we can use pattern recognition techniques for AI. ...e' statements in a C or C++ program. In RBR we are trying to match a given pattern of features to a rule; the 'if' condition. If we find a match, those rules6 KB (1,055 words) - 11:14, 7 April 2008
- ...79/00982904.pdf Two variations on Fisher's linear discriminant for pattern recognition]" is a nice journal article. The paper provides two fast and simple techni ...79/00982904.pdf Two variations on Fisher's linear discriminant for pattern recognition].3 KB (475 words) - 18:05, 28 March 2008
- ===Face Recognition=== ...rl=/iel4/5726/15322/00711956.pdf]. Also variants of FLD are used for face recognition such as DiaFLD [http://linkinghub.elsevier.com/retrieve/pii/S092523120600084 KB (549 words) - 14:40, 25 April 2008
- [[Category:pattern recognition]]831 B (120 words) - 10:57, 10 June 2013
- Reference: Andrew Webb, "Statistical Pattern Recognition" , 2nd, Wiley, 2001.2 KB (296 words) - 11:48, 7 April 2008
- Fuzzy c-means method (Bezdek, 1981) is frequently used in pattern recognition. It is based on minimization of the following objective function, with resp1 KB (258 words) - 16:20, 10 April 2008
- Motion Pattern-Based Video Classification and Retrieval video--> audio--> text(speech) recognition-> keywords2 KB (222 words) - 12:12, 11 April 2008
- ...dimensionality in order to enable a more effective use of several pattern recognition techniques such as clustering algorithms. Here we review the most popular s2 KB (238 words) - 10:41, 28 April 2008
- ...ation of high dimensional data is important in several subareas of pattern recognition including the verification of cluster validity. In order to visualize high3 KB (582 words) - 12:55, 21 April 2008
- When we present a trained recognition system with an unknown pattern and ask it to classify it, we call that testing.117 B (21 words) - 23:25, 24 April 2008
- When we present a pattern recognition with a set of classified patterns so that it can learn the characteristics145 B (26 words) - 23:27, 24 April 2008
- ...sing non-linear discrimination techniques in the book "Statistical Pattern Recognition" by Andrew Webb. In this page, I will summarize the main points of the reco #Try simple pattern recognition technique (K-nearest neighbor, linear discriminant analysis)first as a base2 KB (311 words) - 10:49, 26 April 2008
- ...r the maymester course ECE490W: Introduction to Machine Learning & Pattern Recognition (in Turkey).473 B (74 words) - 17:51, 5 May 2008
- This is the kiwi page for the course ECE662: Pattern Recognition and Decision Making Processes377 B (57 words) - 18:05, 5 May 2008
- [[Category:pattern recognition]] '''[[ECE662]]: Statistical Pattern Recognition and Decision Making Processes'''5 KB (744 words) - 11:17, 10 June 2013
- ...he page for the Spring 2008 edition of the course [[ECE662|ECE662: Pattern Recognition and Decision Making processes]]. * [[What is Pattern Recognition_OldKiwi|What is Pattern Recognition]]7 KB (875 words) - 07:11, 13 February 2012
- [[Category:pattern recognition]] '''[[ECE662]]: Statistical Pattern Recognition and Decision Making Processes'''3 KB (429 words) - 09:07, 11 January 2016
- [[Category:pattern recognition]] [2] R. O. Duda, P. E. Hart, and D. G. Stork. ''Pattern Classification (2nd Edition)''. Wiley-Interscience, 2000.17 KB (2,590 words) - 10:45, 22 January 2015
- [[Category:pattern recognition]] '''[[ECE662]]: Statistical Pattern Recognition and Decision Making Processes'''9 KB (1,341 words) - 11:15, 10 June 2013
- ...y of our programmatic activities is multi-modal image analysis and pattern recognition. MSSE has a strong history in the development of imaging technologies and3 KB (507 words) - 08:30, 22 October 2009
- ...representations of image morphing. Morphing of images is based on pattern recognition and co-ordinate transformation(Bilinear transformation).2 KB (262 words) - 03:50, 7 December 2009
- *[[Peer_Legacy_ECE662|ECE662: Statistical Pattern Recognition and Decision Making Processes]]4 KB (489 words) - 06:24, 24 April 2012
- = [[ECE662]]: "Statistical Pattern Recognition and Decision Making Processes", Spring 2010 = *[["Introduction to Statistical Pattern Recognition" by K. Fukunaga OldKiwi]] (This is the main reference)4 KB (547 words) - 12:24, 25 June 2010
- ...gating possible models to incorporate existing Computer Vision and Pattern Recognition methods on Object Detection to infer human activity intention. [[User:Yuanl ...hope I could get a comprehensive understanding of the area of Pattern Recognition. --Hengzhou8 KB (1,359 words) - 04:54, 6 May 2010
- | 2. What is pattern Recognition1 KB (165 words) - 08:55, 22 April 2010
- ...e then talked about "[[What_is_Pattern_Recognition_OldKiwi|what is pattern recognition?]]".500 B (67 words) - 07:47, 12 April 2010
- [[Category:pattern recognition]] =What is Pattern Recognition?=3 KB (462 words) - 10:41, 10 June 2013
- ...n on the class imbalance problem has been given by the statistical pattern recognition community, as shown in [2].5 KB (694 words) - 12:41, 2 February 2012
- ...pdf/burges98tutorial.pdf A Tutorial on Support Vector Machines for Pattern Recognition] ...arAuthor=Pontil%2C+M.%3B+Verri%2C+A. Support Vector Machines for 3D Object Recognition]3 KB (416 words) - 10:56, 13 April 2010
- d). Serval matlab codes realated to learning, clustering, and pattern classification : It contains lots of pattern recognition algorithms and gives the description and pesudo code of them.5 KB (761 words) - 10:53, 13 April 2010
- When we present a trained recognition system with an unknown pattern and ask it to classify it, we call that testing. When we present a pattern recognition with a set of classified patterns so that it can learn the characteristics31 KB (4,787 words) - 18:21, 22 October 2010
- ...chess playing is an application of "artificial Intelligence" and "Pattern Recognition". ...tern Recognition and decision making processes"]] to learn what is pattern recognition.6 KB (983 words) - 22:31, 9 February 2011
- = [[SA1050|SA 10503]]: Introduction to Machine Learning & Pattern Recognition=4 KB (513 words) - 16:07, 4 November 2010
- = SA 10503: Introduction to Machine Learning & Pattern Recognition= * [[About Pattern Recognition]]1 KB (164 words) - 06:47, 18 November 2010
- *[[ECE662|ECE 662]]: "Pattern recognition and Decision Making Processes3 KB (380 words) - 18:29, 9 January 2015
- ..._Spring2008_sLecture_collective|The Boutin Lectures on Statistical Pattern Recognition, 2010]] ...l_Pattern_recognition_slectures|The Boutin Lectures on Statistical Pattern Recognition, 2014]]1 KB (140 words) - 12:14, 27 March 2015
- *Pattern recognition2 KB (218 words) - 06:24, 19 November 2010