{"id":33182,"date":"2021-05-21T08:11:40","date_gmt":"2021-05-21T08:11:40","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/it5012-pattern-recognition-syllabus-for-it-5th-sem-2019-regulation-anna-university-professional-elective-i\/"},"modified":"2021-05-21T08:11:40","modified_gmt":"2021-05-21T08:11:40","slug":"it5012-pattern-recognition-syllabus-for-it-5th-sem-2019-regulation-anna-university-professional-elective-i","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/it5012-pattern-recognition-syllabus-for-it-5th-sem-2019-regulation-anna-university-professional-elective-i\/","title":{"rendered":"IT5012: Pattern Recognition Syllabus for IT 5th Sem 2019 Regulation Anna University (Professional Elective-I)"},"content":{"rendered":"

Pattern Recognition detailed syllabus for Information Technology (IT) for 2019 regulation curriculum has been taken from the Anna Universities<\/a> official website and presented for the IT students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below. <\/p>\n

For Information Technology 5th Sem scheme and its subjects, do visit IT 5th Sem 2019 regulation scheme<\/a>. For Professional Elective-I scheme and its subjects refer to IT Professional Elective-I syllabus scheme<\/a>. The detailed syllabus of pattern recognition is as follows. <\/p>\n

Pattern Recognition<\/title><\/p>\n<h4>Course Objective:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Unit I<\/h4>\n<p align=\"justify\">\n <strong>Pattern Classifier<\/strong><br \/>\n Overview of Pattern Recognition – Discriminant Functions – Supervised Learning -Parametric Estimation – Maximum Likelihood Estimation – Bayes Theorem – Bayesian Belief Network, Naive Bayesian Classifier.<\/p>\n<p><i>Suggested Activities:<\/i>\n <\/p>\n<ul>\n<li>Discussion on pattern recognition applications like image classification.<\/li>\n<li>Implementation of Bayesian belief network using MatLab.<\/li>\n<li>Implementing Naive Bayesian classifier using MatLab.<\/li>\n<\/ul>\n<p><i>Suggested Evaluation Methods:<\/i>\n <\/p>\n<ul>\n<li>Quizzes on pattern recognition applications like image classification.<\/li>\n<li>Programming assignments on various pattern classifier techniques.<\/li>\n<\/ul>\n<h4>Unit II<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Unit III<\/h4>\n<p align=\"justify\">\n <strong>Feature Extraction and Selection<\/strong><br \/>\n Entropy Minimization – Karhunen Loeve Transformation – Feature Selection Through Functions Approximation – Binary Feature Selection – K-NN.<\/p>\n<p><i>Suggested Activities:<\/i>\n <\/p>\n<ul>\n<li>Implementation of K-NN in MatLab.<\/li>\n<li>Implementation of decision tree in MatLab.<\/li>\n<\/ul>\n<p><i>Suggested Evaluation Methods:<\/i>\n <\/p>\n<ul>\n<li>Quizzes on feature selection methods.<\/li>\n<li>Programming assignments on KL transformation.<\/li>\n<\/ul>\n<h4>Unit IV<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Unit V<\/h4>\n<p align=\"justify\">\n <strong>Recent Advances<\/strong><br \/>\n Fuzzy Classification: Fuzzy Set Theory, Fuzzy And Crisp Classification, Fuzzy Clustering, Fuzzy Pattern Recognition – Introduction to Neural Networks: Elementary Neural Network For Pattern Recognition, Hebbnet, Perceptron, ADALINE, Back Propagation.<\/p>\n<p><i>Suggested Activities:<\/i>\n <\/p>\n<ul>\n<li>Develop a supervised model to train neural net that uses the AND\/OR\/XOR gate functions.<\/li>\n<li>Create and view custom neural networks using MatLab.<\/li>\n<\/ul>\n<p><i>Suggested Evaluation Methods:<\/i>\n <\/p>\n<ul>\n<li>Quizzes on basic fuzzy and neural logic.<\/li>\n<li>Programming assignments on fuzzy classification methods.<\/li>\n<\/ul>\n<h4>Course Outcome:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Text Books:<\/h4>\n<p align=\"justify\">\n<ol>\n<li>Andrew Webb, “Statistical Pattern Recognition”, Arnold publishers, London, 1999.<\/li>\n<\/ol>\n<h4>References:<\/h4>\n<p align=\"justify\">\n<ol>\n<li>C. M. Bishop, “Pattern Recognition and Machine Learning”, Springer, 2006.<\/li>\n<li>R. O. Duda, P. E. Hart, D. G. Stork, “Pattern Classification”, John Wiley, 2001.<\/li>\n<li>M. Narasimha Murthy, V. Susheela Devi, “Pattern Recognition”, Springer 2011.<\/li>\n<li>Menahem Friedman, Abraham Kandel, “Introduction to Pattern Recognition Statistical, Structural, Neural and Fuzzy Logic Approaches”, World Scientific publishing Co. Ltd, 2000.<\/li>\n<li>Robert J. Schalkoff, “Pattern Recognition Statistical, Structural and Neural Approaches”, John Wiley and Sons Inc., 1992.<\/li>\n<li>S. Theodoridis, K. Koutroumbas, “Pattern Recognition”, Fourth Edition, Academic Press, 2009.<\/li>\n<\/ol>\n<p align=\"justify\">For detailed syllabus of all the other subjects of Information Technology 5th Sem, visit <a class=\"rank-math-link\" href=\"..\/category\/it+5th-sem\">IT 5th Sem subject syllabuses for 2019 regulation<\/a>. <\/p>\n<p align=\"justify\">For all Information Technology results, visit <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/anna-university\/anna-university-results\/\">Anna University IT all semester results<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Pattern Recognition detailed syllabus for Information Technology (IT) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the IT students. For course code, […]<\/p>\n","protected":false},"author":2297,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[72],"tags":[],"class_list":["post-33182","post","type-post","status-publish","format-standard","hentry","category-it"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/33182","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=33182"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/33182\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=33182"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=33182"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=33182"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}