Soft Computing Pattern Recognition and data Mining: Concepts, Features & Examples
Speaker: Professor Sankar Pal, Indian Statistical Institute, Calcutta
When: 2003-07-21 17:30:00
Venue: 78-420
Host: Brian Lovell
Abstract:Different characteristics of soft computing and its relation with
machine intelligence and pattern recognition are
explained. Effectiveness of the searching capability of Genetic
Algorithms (comparatively newer than fuzzy logic and artificial
neural network) for designing a non-parametric classifier is
described with both theoretical and experimental results. Emergence
of data mining and knowledge discovery from pattern recognition
point of view is illustrated. Significance of integrating various
soft computing tools for efficient learning in this regard is
described. Two examples, demonstrating such integration of fuzzy
sets, artificial neural networks, genetic algorithms and rough sets
for (i) efficient classification, rule generation and rule
evaluation, and (ii) granular case generation in case based
reasoning problems, are provided along with their application
specific merits. An application of rough-fuzzy granulation,
integrated with expectation maximization (EM) and minimal spanning
tree (MST) algorithms, is then described for multispectral image
segmentation. Different features of these methodologies are
extensively demonstrated along with comparisons on different real
life data sets. The talk concludes explaining the relation of
rough-fuzzy computing with the recently emerged computational theory
of perceptions (CTP) and the future scope of research in data mining
including web mining.
Biography:Sankar K. Pal is a Professor and Distinguished Scientist at the
Indian Statistical Institute, Calcutta. He is also the Founding Head
of Machine Intelligence Unit. He received the M. Tech. and
Ph.D. degrees in Radio physics and Electronics in 1974 and 1979
respectively, from the University of Calcutta. In 1982 he received
another Ph.D. in Electrical Engineering along with DIC from Imperial
College, University of London. He worked at the University of
California, Berkeley and the University of Maryland, College Park
during 1986-87 as a Fulbright Post-doctoral Visiting Fellow; at the
NASA Johnson Space Center, Houston, Texas during 1990-92 and 1994 as
a Guest Investigator under the NRC-NASA Senior Research
Associateship program; and at the Hong Kong Polytechnic University,
Hong Kong in 1999 and 2000 as a Visiting Professor. He served as a
Distinguished Visitor of IEEE Computer Society (USA) for the
Asia-Pacific Region during 1997-99 for delivering lectures in
Australia, Singapore and China. Prof. Pal is a Fellow of the IEEE,
USA, Third World Academy of Sciences, Italy, International
Association for Pattern Recognition, USA, and all the four National
Academies for Science/Engineering in India. His research interests
include Pattern Recognition, Image Processing, Data Mining, Soft
Computing, Neural Nets, Genetic Algorithms, and Fuzzy Systems. He is
a co-author/co-editor of eight books including Fuzzy Mathematical
Approach to Pattern Recognition, John Wiley (Halsted), N.Y., 1986,
Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing, John
Wiley, N.Y. 1999; and has about three hundred research
publications. He has received the 1990 S. S. Bhatnagar Prize (which
is the most coveted award for a scientist in India), 1993 Jawaharlal
Nehru Fellowship, 1993 Vikram Sarabhai Research Award, 1993 NASA
Tech Brief Award, 1994 IEEE Trans. Neural Networks Outstanding Paper
Award, 1995 NASA Patent Application Award, 1997 IETE - Ram Lal
Wadhwa Gold Medal, 1998 Om Bhasin Foundation Award, 1999 G. D. Birla
Award for Scientific Research, 2000 Khwarizmi International Award
(1st winner) from the Islamic Republic of Iran, 2001 Syed Husain
Zaheer Medal from Indian National Science Academy and the 2001 FICCI
Award for Engineering and Technology from the Federation of Indian
Chamber of Commerce & Industries, India. Prof. Pal is an Associate
Editor, IEEE Trans. Neural Networks (1994-98), Pattern Recognition
Letters, Int. J. Pattern Recognition and Artificial Intelligence,
Neurocomputing, Applied Intelligence, Information Sciences, Fuzzy
Sets and Systems, and Fundamental Informaticae; a Member, Executive
Advisory Editorial Board, IEEE Trans. Fuzzy Systems, Int. Journal on
Image and Graphics, and Int. Journal of Approximate Reasoning; and a
Guest Editor of many journals including the IEEE Computer.
Type: IEEE Queensland Computer Chapter seminar
Contact:Brian Lovell, seminar host (lovell@itee.uq.edu.au)
or Guido Governatori (ITEE seminar co-ordinator)
(guido@itee.uq.edu.au)