MIWAI'2014

The 8th Multi-Disciplinary International Workshop on Artificial Intelligence

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MIWAI 2014 Tutorial/Workshop Schedule download here.

Multi-disciplinary International Workshop on Artificial Intelligence(MIWAI-2014)
(8th December to 10th December 2014)
Venue: Senate Hall, Capitol Hotel, Bangalore, India



8th December 2014
8:30 A.M to 9:30 A.M: Registration
9:30 A.M to 11:00 A.M: Tutorial-1 [Part I]
Speaker: Dr. Chattrakul Sombattheera, Mahasarakham University, Thailand
Title: Introduction to Coalition Formation
Chair: TBD
11:00 A.M to 11:30 A.M: Tea Break
11:30 A.M to 01:00 0P.M: Tutorial-1 [Part II]
Speaker: Dr. Chattrakul Sombattheera, Mahasarakham University, Thailand
Title: Introduction to Coalition Formation
Chair: TBD
1:00P.M to 2:00 P.M: Lunch Break
2:00 P.M to 03:30 P.M: Tutorial-2 [Part I]
Speaker: Prof. P. Krishna Reddy, IIIT Hyderabad
Title: "Building of eSagu System", an IT-based Personalized Agro-Advisory system.
Chair: TBD
03:30 P.M to 04:00 P.M: Tea Break
04:00 P.M to 05:30 P.M: Tutorial-2 [Part II]
Speaker: Prof. P. Krishna Reddy, IIIT Hyderabad
Title: "Building of eSagu System", an IT-based Personalized Agro-Advisory system.
Chair: TBD
9th December 2014
8:00 A.M to 9:30 A.M: Registration
9:30 A.M to 10 A.M: Inauguration ceremony
10:00 A.M to 11:00 A.M: Keynote Talk: Prof. C. A. Murthy, ISI Kolkata
Title: Face Recognition using Set Estimation Procedure
Chair: Prof. Y. Narahari, IISc Bangalore
11:00 A.M to 11:30 A.M: Tea Break
11:30 A.M to 1:00 P.M: Technical Session-1: Evolutionary Computing and Others-I
Session Chair: TBD
  1. "Potential Interval of root" of Nonlinear Equation: Labeling Algorithm; Vijaya Lakshmi V. Nadimpalli, Rajeev Wankar and Raghavendra Rao Chillarige
  2. Stochastic Leaky Integrator Model for Interval Timing; Komala Anamalamudi, Bapi Raju Surampudi and Madhavilatha Maganti
  3. Multi-Objective Exploration for Compiler Optimizations & Parameters; N A B Sankar Chebolu and Rajeev Wankar
1:00P.M to 2:00 P.M: Lunch Break
2:00 P.M to 3:00 P.M: Invited Talk-1: Prof. P. S. Sastry, IISc Bangalore
Title: Learning classifiers under label noise
Chair: TBD
3:00 P.M to 4:00 P.M: Technical Session-2: Evolutionary Computing and Others-II
Session Chair: TBD
  1. Association Rule Mining via Evolutionary Multi-objective Optimization; Ganghishetti Pradeep and Ravi Vadlamani
  2. DC charger selection scheme for electric vehicles based on a distance-based heuristic; Junghoon Lee
  3. Automated Reasoning in Deontic Logic; Claudia Schon, Ulrich Furbach and Frieder Stolzenburg
4:00 P.M to 4:30 P.M Tea Break
4:30 P.M to 5:30 P.M: Technical Session-3: Soft Computing –I
Session Chair: TBD
  1. Image Processing Tool for FAE Cloud Dynamics; Mousumi Roy, Allam Apparao, Arun Agarwal, Rajeev Wankar and Raghavendra Rao Chillarige
  2. N-gram Based Approach for Opinion Mining of Punjabi Text; Amandeep Kaur and Vishal Gupta
  3. Application of Game-theoretic Rough Sets in Recommender Systems; Nouman Azam and Jingtao Yao
7:00 P.M to 10:00 P.M: Cultural Programme and Workshop Banquet Dinner Venue: The Capitol Hotel
10th December 2014
9:00 A.M to 10:00 A.M: Invited Talk-2: Prof. B. S. Daya Sagar, ISI, Bangalore
Title: Greyscale Morphological Interpolations and Morphing
Chair: TBD
10:00 A.M to 11:00 A.M: Technical Session-4: Soft-Computing-II
Session Chair: TBD
  1. RGB - based Color Texture Image Classification using Anisotropic Diffusion and LDBP; Prakash Hiremath and Rohini Bhusnurmath
  2. A Knowledge-based Design for Structural Analysis of Printed Mathematical Expressions; Pavan Kumar P, Arun Agarwal and Chakravarthy Bhagvati
  3. A New Preprocessor to Fuzzy c-Means Algorithm; Raveen S, Sai Prasad P.S.V.S and Raghavendra Rao Chillarige
11:00 A.M to 11:30 A.M: Tea Break
11:30 A.M to 1:00 P.M: Technical Session-5: DM/ML
Session Chair: TBD
  1. Domain Specific Sentiment Dictionary for Opinion Mining of Vietnamese Text; Hong Nam Nguyen, Van Le Thanh, Hai Son Le and Vu Pham Tran
  2. Support Vector-Quantile Regression Random Forest hybrid for Regression Problems; Ravi Vadlamani and Anurag Sharma
  3. Clustering Web Services on Frequent Output Parameters for I/O based Service Search; Lakshmi H N and Hrushikesha Mohanty
  4. IntelliNavi : Navigation for Blind based on Kinect and Machine Learning; Alexy Bhowmick, Saurabh Prakash, Rukmani Bhagat, Vijay Prasad and Shyamanta M. Hazarika
1:00 P.M to 2:00 P.M: Lunch Break
2:00 PM to 3:00 PM: Invited Talk-3: Dr. Biplav Srivastava, IBM Research, New Delhi
Title: Open Innovation - From Government Open Data to Societal Applications that Matter
Chair: TBD
3:00 P.M to 4:40 P.M: Technical Session-6: Web/NW
Session Chair: TBD
  1. A trust metric for online virtual teams & work groups; Sagar A B and Hrushikesha Mohanty
  2. Web Service Composition Using Service Maps; Supriya Vaddi and Hrushikesha Mohanty
  3. Integrated Representation of Spatial Topological and Size Relations for the Semantic Web; Sotiris Batsakis, Grigoris Antoniou and Ilias Tachmazidis
  4. Using Bayesian Networks to Model and Analysis Software Product Line Feature Model; Musfiqur Rahman and Shamim Ripon
  5. A content-based approach for user profile modeling and matching on social network; Van Le Thanh, Nghia Truong Trong and Vu Pham Tran
4:40 P.M to 5:00 P.M: Tea Break
5:00 P.M to 5:30 P.M: Valedictory

[View all speakers details]

Prof. C. A. Murthy (Keynote Speaker)

Prof. C. A. Murthy
Machine Intelligence Unitarianize
Indian Statistical Institute
203 Barrackpore Trunk Road
Kolkata - 700 108
India

Email: murthy@isical.ac.in
http://www.isical.ac.in/~murthy/
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Brief Biography: Professor C. A. Murthy was born in Ongole, India in 1958. He obtained B. Stat (Hons), M. Stat. and Ph. D. degrees from the Indian Statistical Institute (ISI). He visited the Michigan State University, East Lansing in 1991-92 and the Pennsylvania State University, University Park in 1996 - 97. He is a Professor in the Machine Intelligence Unit of ISI. His fields of research interest include Pattern Recognition, Image Processing, Machine Learning, Neural Networks, Fractals, Genetic Algorithms, Wavelets and Data Mining. He received the best paper award in 1996 in Computer Science from the Institute of Engineers, India. He received the Vasvik award along with his two colleagues for Electronic Sciences and Technology for the year 1999. He is a fellow of the National Academy of Engineering, India and National Academy of Sciences, India. He was the head of the Machine Intelligence Unit, ISI from 2005 to 2010.

He has 6 US Patents, 2 EU Patents and 2 International Patents for his works on Image retrieval using distance measure, Architecture for processing fingerprint images, Finger print minutiae Matching using Scoring Techniques, A method for block based digital image watermarking' etc. He has published quality papers in select top journals like: Computer Vision and Image Understanding, IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Image Processing, IEEE Trans. on Systems, Man, and Cybernetics-B, Pattern Recognition, IEEE Transactions on Neural Networks etc. He has also edited 4 books.

He is presently the Professor In-charge of the Computer and Communication Sciences Division of ISI.

Title: Face Recognition using Set Estimation Procedure

Abstract: Most of the conventional face recognition algorithms are dissimilarity based, and for the sake of open and closed test classification one needs to put a proper threshold on the dissimilarity value. On the basis of the decision threshold, a biometric recognition system should be in a position to accept the query image as client or reject him as imposter. However, the selection of proper threshold of a given class in a dataset is an open question, as it is related to the difficulty levels dictated in face recognition problems. In this talk we shall describe a thresholding technique for a real life scenario where the query face image may not be present in the training database, i.e. often referred by the biometric researchers as the open test identification. The theoretical basis of the thresholding technique and its corresponding verification on several datasets has been successfully demonstrated here. The proposed threshold selection is based on statistical method of set estimation and is guided by minimal spanning tree. It has been found that the proposed technique performs better than the ROC curve based threshold selection mechanism.


Prof. P. S. Sastry (Invited Speaker)

Prof. P. S. Sastry
Room No 235
Department of Electrical Engineering
Indian Institute of Science
Bangalore-560012
India

Email: sastry@ee.iisc.ernet.in
http://minchu.ee.iisc.ernet.in/new/people/faculty/pss/
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Dr. B. S. Daya Sagar (Invited Speaker)

Dr. B. S. Daya Sagar
Associate Professor & Head
Systems Science and Informatics Unit (SSIU)
Indian Statistical Institute--Bangalore Centre
8th Mile, Mysore Road, R. V. College P.O
Bangalore-560059
India

Email: bsdsagar@isibang.ac.in
http://www.isibang.ac.in/~bsdsagar/
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Dr. Biplav Srivastava (Invited Speaker)

Dr. Biplav Srivastava
Senior Researcher, IBM Master Inventor
IBM Research,
ISID Campus, Plot No. 4, Block C,
Institutional Area, Vasant Kunj
New Delhi - 110 070
India

Email: sbiplav@in.ibm.com
http://www.research.ibm.com/people/b/biplav/
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Dr. P. Krishna Reddy (Tutorial Speaker)

Dr P.Krishna Reddy
Program Director, ITRA
Agriculture & Food, DietY, Govt. of India and Professor International Institute of Information Technology Hyderabad (IIIT-H)
Gachibowli, Hyderabad,
Telangana State 500032
India

E-mail: pkreddy@iiit.ac.in
http://www.iiit.ac.in/~pkreddy/
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Dr. Chattrakul Sombattheera (Tutorial Speaker)

Dr. Chattrakul Sombattheera
Faculty of Informatics
Mahasarakham University
Khamreang Sub-District
Kantarawichai District
Maha Sarakham 44150
Thailand

Email: chattrakul.s@msu.ac.th
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