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TWO DAYS WORKSHOP ON ADVANCED COMPUTATIONAL TECHNIQUES IN INFORMATIONPROCESSING (ACTIP – 2012), THIAGARAJAR COLLEGE OFENGINEERING, MADURAI, TAMILNADU.

Date of Function:APRIL 4TH – 5TH 2012

Warm greetings from Thiagarajar College of Engineering Madurai.

We are happy to announce that the Information Technology department of our college is organizing the "Two Days Workshop on Advanced Computational Techniques in Information Processing" on 4th – 5th, April 2012. The purpose of this workshop is to explore the state-of-the-art computational techniques in information processing and its applications in the areas of Signal and Image Processing, Data Mining, Pattern Recognition, Video Analysis and Tracking.

Eligibility:

Faculty / Researchers from all Engineering Colleges / Universities / Research Labs, IT Professionals from Industries, UG and PG students are eligible to apply.


About the Course:

The extensive use of digital data in our everyday life and their inherent presence around us, urges for the development of smarter and more efficient approaches for modelling, analysis, processing and communication of information. Information processing techniques have gone so far and are able to perform tasks that could only be a dream few years ago; thanks to the smarter algorithms, larger increase in processing power, storage capabilities and communication bandwidth available in today’s computers and networks. This course aims at exploring the state-ofthe- art computational techniques like Statistical estimation and detection theory, Bayesian theorem, multi-variant data analysis, Support Vector Machines, Genetic algorithms, Particle Swarm Optimization, Ant colony Optimization. Applications of these information processing techniques in the areas of Signal and Image Processing, Data Mining, Pattern Recognition, Video Analysis and Tracking will be discussed along with case studies.

Course Outline:

Statistical techniques for Information

Processing.

Multi-variant Data Analysis.

Image Analysis and Matching Techniques.

Video Analysis and Classification Techniques.

Population based Meta Heuristics.

Feature Selection Techniques.

Resource Persons:

Dr. N. Jawahar, Dean (Research), TCE.

Dr. S. J.Thiruvengadam, Professor, ECE, TCE.

Dr. S. Mohammed Mansoor Roomi, AP, ECE, TCE.

Dr. S. Appavu @ Balamurugan, AP, IT, TCE.

Dr. B. Yogameena, AP, ECE, TCE.

Dr. S. Geetha, AP, IT, TCE.

*** CONTACT ***


Dr. J. Jennifer Ranjani

Assistant Professor,

Department of Information Technology,

Thiagarajar College of Engineering,

Madurai, Tamil Nadu, India – 625015

Phone: 9443951105,

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