Create the page "Pattern Recognition" on this wiki! See also the search results found.
Page title matches
- [[Category:pattern recognitionBochumSummer2014Boutin]] =Statistical Pattern Recognition (Bochum)=215 B (24 words) - 01:55, 8 July 2014
- Definition of Pattern Recognition: Pattern Recognition is the art of assigning classes or categories to data. When the computer i3 KB (436 words) - 08:43, 10 April 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
- =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
-
359 B (44 words) - 12:04, 16 March 2008
- ...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
- [[Category:pattern recognition]] =What is Pattern Recognition?=3 KB (462 words) - 10:41, 10 June 2013
- [[Category:Pattern recognition]] ...e need to first understand the different components that make up a pattern recognition system. <br>4 KB (691 words) - 16:46, 15 February 2013
- [[Category:pattern recognition]] '''[[ECE662]]: Statistical Pattern Recognition and Decision Making Processes'''3 KB (425 words) - 09:59, 4 November 2013
-
0 B (0 words) - 15:29, 9 February 2014
- [[Category:pattern recognition]] '''From Bayes' Theorem to Pattern Recognition via Bayes' Rule''' <br />14 KB (2,241 words) - 10:42, 22 January 2015
- #REDIRECT [[From Bayes Theorem to Pattern Recognition via Bayes Rule]]70 B (10 words) - 07:10, 12 February 2014
- #REDIRECT [[From Bayes Theorem to Pattern Recognition via Bayes Rule]]70 B (10 words) - 07:10, 12 February 2014
- [[Category:pattern recognition]] '''The Boutin Lectures on Statistical Pattern Recognition and Decision Making Processes, Spring 2014'''562 B (67 words) - 10:18, 29 April 2014
- [[Category:pattern recognition]] '''The [http://mireilleboutin.com Boutin] Lectures on Statistical Pattern Recognition'''8 KB (1,123 words) - 10:38, 22 January 2015
Page text matches
- :[[ECE662|ECE662: "Statistical Decision Theory and Pattern Recognition"]]2 KB (209 words) - 13:07, 9 September 2022
- :[[2016_Spring_ECE_662_Boutin| ECE662: "Pattern Recognition and Decision Making Processes", Prof. Boutin]] :[[2014_Summer_pattern_recognition_Bochum_Boutin|Bochum Statistical Pattern Recognition]]13 KB (1,570 words) - 13:53, 7 August 2018
- [[Category:pattern recognitionBochumSummer2014Boutin]] =Statistical Pattern Recognition (Bochum)=215 B (24 words) - 01:55, 8 July 2014
- :[[ECE662|ECE662: "Statistical Decision Theory and Pattern Recognition"]] *[[ECE662|ECE 662]]: "Pattern recognition and Decision Making Processes4 KB (474 words) - 07:08, 4 November 2013
- [[Category:pattern recognition]] ...he page for the Spring 2008 edition of the course [[ECE662|ECE662: Pattern Recognition and Decision Making processes]].6 KB (747 words) - 05:18, 5 April 2013
- 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 (4,832 words) - 18:13, 22 October 2010
- ..."Dynamic Cluster Formation Using Level Set Methods", IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 28, NO. 6, JUNE 2006.''' * K. Fukunaga, Introduction to Statistical Pattern Recognition, second ed. Boston Academic Press, 1990.8 KB (1,173 words) - 12:41, 26 April 2008
- 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 (746 words) - 16:33, 17 April 2008
- == Definition and Examples of Pattern Recognition == Main article: [[What is Pattern Recognition_Old Kiwi]].3 KB (468 words) - 08:45, 17 January 2013
- ...obtaining an optimum decision tree is another difficult problem in pattern recognition.5 KB (737 words) - 08:45, 17 January 2013
- ...ata. However, large training datasets are typically unavailable in pattern recognition problems. Furthermore, when the dimension of data increases, the complexity (From [["Pattern Classification" by Duda, Hart, and Stork_Old Kiwi|DHS]] Chapter 5)5 KB (792 words) - 08:48, 17 January 2013
- ...example. An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning process. Learning in biological8 KB (1,354 words) - 08:51, 17 January 2013
- === Introduction to Statistical Pattern Recognition === * One of the three classical books on pattern recognition3 KB (340 words) - 17:58, 6 March 2008
- ...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 (366 words) - 08:48, 10 April 2008
- * 2008/04/25 -- Addeda pattern recognition application field in remote sensing ...thored about 3 feature-based automotive [[Feature Extraction_Old Kiwi|lane recognition]].10 KB (1,418 words) - 12:21, 28 April 2008
- Definition of Pattern Recognition: Pattern Recognition is the art of assigning classes or categories to data. When the computer i3 KB (436 words) - 08:43, 10 April 2008
- Estimation of classifiability of various Pattern Recognition techniques is needed to compare them against each other and also to select1 KB (170 words) - 08:46, 10 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 Bayes6 KB (995 words) - 10:39, 20 May 2013
- ...ver-studio-freeware-wfhucunj.html] - This is a very simple to use pattern recognition tool. The tool uses artificial intelligence techniques like neural networks ...cognition, face recognition, speech recognition, computer vision, and coin recognition.2 KB (307 words) - 17:13, 21 April 2008
- Here you can find relevant information on how to implement Pattern Recognition projects using Scilab. * Scilab Toolbox especialized on Pattern Recognition -- Presto-Box [http://www.scilab.org/contrib/index_contrib.php?page=display3 KB (376 words) - 20:45, 26 March 2008
