M. Narasimha Murty (Professor) 

BIO 

PhD (1982, IISc) 

PUBLICATIONS
Selected Journal Publications (each has 10 or more number of citations as per Google Scholar)
M. N. Murty and G. Krishna, A computationally efficient technique for
data clustering, Pattern Recognition, Vol. 12, pp. 153, 1980.(No. of citations: 19)
 G. P. Babu and M. N. Murty, A Nearoptimal initial seed value
selectionfor KMeans Algorithm using Genetic Algorithm, Pattern
Recognition Letters, 14, pp. 763769, 1993.(No. of citations: 62)
 G. P. Babu and M. N. Murty, Clustering with Evolution Strategies, Pattern Recognition, Vol. 27, No. 2, pp. 321329, 1994.(No. of citations: 89)
 M. Prakash and M. N. Murty, A Genetic Algorithm for Selection of
(Near) Optimal Subsets of Principal Components for Discrimination,
Pattern Recognition Letters, Special Issue on Genetic Algorithms, Vol.
16, pp. 781787, 1995.(No. of citations: 24)
 M. N. Murty and A. K. Jain, KnowledgeBased Clustering Scheme for
Collection Management and Retrieval of Library Books, Pattern
Recognition, Vol. 28, No. 8, pp. 949963, 1995.(No. of citations: 13)
 M. Prakash and M. N. Murty, Growing Subspace Pattern Recognition
Methods and their NeuralNetwork Models, IEEE Trans. on Neural
Networks, Vol. 8, No. 1, pp. 161168, 1997.(No. of citations: 24)
 K. Krishna and M. N. Murty, Genetic KMeans Algorithm, IEEE Trans. on SMC, Vol. 29, No. 3, pp.433439, June 1999.(No. of citations: 141)
 V. E. Ramesh and M. N. Murty, Offline Signature Verification
Using Genetically Optimized Weighted Features, Pattern Recognition,
Vol. 32, No. 2, pp. 217233, 1999.(No. of citations: 26)
 A. K. Jain, M. N. Murty, and P. J. Flynn, Pattern Clustering: A Review, ACM Computing Surveys, pp. 264323, Sept. 1999.(no. of citations: 2484)
 T. R. Babu and M. N. Murty, Comparison of Genetic Algorithm Based
Prototype Selection Schemes, Pattern Recognition, Vol. 34, pp. 523525,
2001.(No. of citations: 29)
 V. Susheela Devi and M. N. Murty, Incremental Prototype Building
Technique, Pattern Recognition, Vol. 35, pp. 505513, 2002.(No. of citations: 16)
 V. S. Ananthanarayana, M. N. Murty, and D. K. Subramanian, Tree
Structure for Efficient Data Mining Using Rough Sets, Pattern
Recognition Letters, 24, pp.833849, 2003.(No. of citations: 19)
 J. N. Manjunatha, K. R. Sivaramakrishnan, R. K. Pandey, and M. N. Murty,
Citation Prediction Using Time Series Appraoch: KDD Cup 2003 (task 1),
SIGKDD Explorations, Vol. 5, pp. 152153, 2003.(winning entry)
 S. Asharaf and M. N. Murty, An Adaptive Rough Fuzzy Single Pass Algorithm
for Clustering Large Data Sets, Pattern Recognition, Vol. 36, pp. 30153018,
2003.(No. of citations: 11)
 P. A. Vijaya, M. N. Murty, and D. K. Subramanian,
LeadersSubleaders: An Efficient Hierarchical Clustering Algorithm for Large
Datasets, Pattern Recognition Letters, Vol 25, pp. 503  511, 2004.(No. of citations: 14)
Book Chapters 
M. N. Murty and A. Negi, A KnowledgeBased Approach to Cluster Analysis, in
Systems and Signal Processing, pp. 747755, edited by R. N. Madan,
N. Viswanadham, and R. L. Kashyap, Oxford and IBH Publishing Company, New Delhi, 1991.
 V. Sridhar and M. N. Murty, Knowledge Processing Under Uncertainty, in
Knowledge Based Systems, pp. 157189, edited by S. G. Tzafestas, World
Scientific, London, 1997.
 V. Susheela Devi and M. N. Murty, Handwritten Digit Recognition Using
Soft Computing, in SoftComputing for Image Processing, pp. 506524, edited by
S. K. Pal, A. Ghosh and M. K. Kundu, PhysicaVerlag, Heidelberg, 2000.
 M. N. Murty, Clustering Large Data Sets, in Soft Computing Approach to
Pattern Recognition and Image Processing, pp. 4163, edited by A. Ghosh and
S. K. Pal, WorldScientific, New Jersey, 2002.
 E. Diday and M. N. Murty, Symbolic Data Clustering, in Encyclopedia of Data Warehousing and Mining, pp. 10871092, Edited by J. Wang, Idea Group Inc.,
2005.
 P. Viswanath, M. N. Murty, and S. Bhatnagar, Pattern Synthesis for
LargeScale Pattern Classification, In Encyclopedia of Data Warehousing and
Mining, pp. 902906, Edited by. J. Wang, Idea Group Inc., 2005.
Selected Conference Papers 
B. Shekar, M. N. Murty, and G. Krishna, Pattern clustering: an artificial
intelligence approach, Proceedings of the 10th International Joint Conference
on Artificial Intelligence, Milano, Italy, Aug. 1987.
 V. Sridhar, M. N. Murty, and G. Krishna, A logical model for
decisionmaking, Proceedings of the IEEE International Conference on
Systems, Man and Cybernetics, Dec. 1989.
 S. H. Srinivasan and M. N. Murty, Validation in distributed
representation, in International Joint Conference on Neural Networks,
Singapore, pp. 3642, November 1991.
 G. P. Babu and M. N. Murty, Probabilistic connectionist approaches for the design of good communication codes, In the Proc. of the IJCNN, Japan, 1993.
 G. P. Babu and M. N. Murty, Controlled offspring generation in evolutionary programming, in Proc. of the Third Annual Conf. on Evolutionary Programming,
San Diego, 1994.
 V. S. Ananthanarayana, D. K. Subramanian, and M. N. Murty, Scalable,
distributed and dynamic mining of association rules, In the Proceedings of the
International Conf. on HIPC, LNCS 1970, Bangalore, pp. 559566, Dec. 2000.
 S. V. N. Vishwanathan and M. N. Murty, SSVM: A simple SVM algorithm, in
Proceedings of IJCNN, IEEE Press, 2002.
 S. V. N. Vishwanathan and M. N. Murty, Geometric SVM: a fast and intuitive SVM algorithm. In Proc. Intl. Conf. Pattern Recognition, Vol. 2, pp. 5659,
2002.
 D. Ambedkar, M. N. Murty, and S. Bhatnagar, Quotient evolutionary space:
abstraction of evolutionary process w.r.t macroscopic properties, In Proceedings of IEEE Congress on Evolutionary Computation, 2003.
 S. V. N. Vishwanathan, A. J. Smola, and M. N. Murty, Simple SVM, In Proceedings of Intl. Conf. on Machine Learning, pp. 760767, 2003.
 D. Ambedkar, M. N. Murty, and S. Bhatnagar, Cauchy annealing schedule: an
annealing schedule for Boltzmann selection scheme in evolutionary algorithms, In Proceedings of IEEE Congress on Evolutionary Computation (CEC'2004), 2004.
 P. A. Vijaya, M. N. Murty, and D. K. Subramanian,
An efficient technique for protein sequence clustering and classification, In
Proc. of 17th ICPR (Int. Conf. in Pattern Recognition), Vol. 2, pp. 447450,
2004.
 P. Viswanath, M. N. Murty, and S. Bhatnagar, A pattern synthesis technique with an efficient nearest neighbor classifier for binary pattern recognition,
In Proceedings of International Conference on Pattern Recognition (ICPR),
Vol. 4, pp. 416419, 2004.
 D. Dipti, M. Vidyasagar, and M. N. Murty, Bimodal projectionbased features for pattern classification, In Proceedings of the IJCNN at the IEEE world Congress on Computational Intelligence, 2006.
 S. Asharaf, S. K. Shevade, and M. N. Murty, Scalable nonlinear support
vector machine using hierarchical clustering, ICPR Vol. 1, pp. 908911, 2006.
 Saketha Nath, C. Bhattacharyya, and M. N. Murty, Clustering based large
margin classification: a scalable approach using SOCP formulation, In
Proceedings of Intl. Conf. on KDD, 2006.
 S. Asharaf, M. N. Murty, and S. K. Shevade, Cluster based core vector
machine, In Proceedings of Intl. Conf. on Data Mining, 2006.
 S. Asharaf, M. N. Murty, and S. K. Shevade, Multiclass Core Vector Machine, in the Proceedings of the 24th ICML, June 2007.
 B. Rashmin, J. Saketha Nath, K. Suresh Kumar, K.
Sivaramakrishnan, C. Bhattacharyya, and M. N. Murty, Focussed Crawling with
Scalable Ordinal regression solvers, in the Proceedings of the 24th ICML, June 2007.
 A. P. Yogananda, M. N. Murty, and Lakshmi Gopal, A fast linear separability test by projection of positive points on subspaces, in the Proceedings of the
24th ICML, June 2007.

STUDENTS
PhD Students.
 B. Shekar: A KnowledgeBased Approach to Pattern Clustering, 1988 (with Prof. G. Krishna).
 S.H. Srinivasan: Studies in Learning and Representation in connectionist Networks, 1993.
 V. Sridhar: Labelled clustering and its Applications, 1993.
 G. Phanendra Babu: Evolutionary and Connectionist Approaches to Pattern Clustering, 1994 (with Prof. S. Sathiya Keerthi).
 M. Prakash: Learning in Subspace Methods Using weighted and MultiSubspace Representations, 1996.
 S. Bhattacharya: A Novel Scheme for Speech Synthesis, 1997.
 V. Susheela Devi: Optimal Prototype Selection for Efficient Pattern Classification, 2001 (with Prof. Indraneel Sen).
 K. R. K. Murthy: Sharable Instructable Agent for Information Filtering, 2001 (with Prof. S. Sathiya Keerthi).
 C. Bhattacharyya: Plefka's MeanField Theory and Belief Networks, 2002 (with Prof. Sathiya Keerthi).
 S. K. Shevade: Some Efficient Algorithms for Support Vector Machines, 2001 (with Prof. S. Sathiya Keerthi).
 Dipti Deodhare: Bimodal Projections Based Features for High Dimensional Pattern Classification, 2001 (with Dr. M. Vidyasagar).
 V. S. Ananthanarayana: KnowledgeBased Mining of MultiDatabases for Associations, 2001 (with Prof. D. K. Subramanian).
 S. V. N. Vishwanathan: Kernel Methods: Fast Algorithms and Real Life Applications, 2003.
 P. Viswanath: Pattern Synthesis Techniques and Compact Data Representation Schemes for Efficient Nearest Neighbor Classification, 2005 (with Dr. S. Bhatnagar) (Awarded the Best Thesis Award).
 P. A. Vijaya: Efficient Hierarchical Clustering Techniques for Pattern Classification, 2005 (with Prof. D. K. Subramanian).
 D. Ambedkar: On generalized Measures of Information with Maximum and Minimum Entropy Prescriptions, 2006(with Dr. S. Bhatnagar).
 T. Ravindra Babu: Efficient Schemes for LargeScale Pattern Classification, 2006 (with Dr. V. K. Agrawal).
 S. Asharaf: Efficient Kernel Methods for Large Scale Classification, 2007 (with Dr. S. K. Shevade)(IBM Outstanding PhD student award).
 E. Thirumaran, Clustering Large Datasets (In Progress) (with Dr. E. M. Lalitha, Honeywell, Bangalore).
 N. Ranga Suri, Correlation Clustering (In Progress) (with Dr. Athithan, CAIR, Bangalore).
 Geetha Manjunath, Semantic Web (In Progress) (with Dr. Dinkar Sitaram, HP Research Labs, Bangalore).
M. Sc. (Engg.) Students:
 C. Srinivas: Pattern classification using conjunctive conceptual clustering procedures, 1986.
 S. Choudhury: Hierarchical Data Structures for Pattern Recognition, 1987.
 Malini K. Bhandaru: Learning from examples using Hierarchical Counterfactual Expressions, 1989.
 Atul Negi: Algorithmic knowledge for a knowledgebased clustering environment, 1989.
 V. Rajasekar: Intelligent Backtracking in Logic Programs, 1990.
 V.S.S. Suresh Babu: Preprocessing for Optimal Multilevel clustering, 1990.
 Francis Joy: Reason Maintenance and Logic, 1993.
 V. Vijaya Saradhi: Pattern Representation and Prototype Selection for Handwritten Digit Recognition, 1999.
 P. Ramanujam: Development of a GeneralPurpose Sanskrit Parser, 1999 (with Prof. Nagaraj Shenoy).
 T. Ravindra Babu: Data Clustering and Evolutionary Algorithms for Data Mining, 2000 (with Dr. M. Sambasiva Rao).
 D. Ambedkar: ACEModel: A Conceptual Evolutionary Model for Evolutionary Computation and Artificial Life, 2002.
 B. N. Ranganath: Efficient Frequent Closed Itemset Algorithms with Applications to Stream Mining and Classification, 2009.

CONTACT
Dept. of CSA, IISc
Bangalore560 012, India
Phone: 918022932779
Email:


