M. Narasimha Murty

Geetha Manjunath, M. Narasimha Murty, Dinkar Sitaram: Combining heterogeneous classifiers for relational databases. Pattern Recognition 46(1): 317-324 (2013)

Vikas K. Garg, Y. Narahari, M. Narasimha Murty: Novel Biobjective Clustering (BiGC) Based on Cooperative Game Theory. IEEE Trans. Knowl. Data Eng. 25(5): 1070-1082 (2013)

N. N. R. Ranga Suri, M. Narasimha Murty, G. Athithan: An algorithm for mining outliers in categorical data through ranking. HIS 2012: 247-252

N. N. R. Ranga Suri, M. Narasimha Murty, G. Athithan: Unsupervised feature selection for outlier detection in categorical data using mutual information. HIS 2012: 253-258

Karthik Nagesh, M. Narasimha Murty: Obtaining Single Document Summaries Using Latent Dirichlet Allocation. ICONIP (4) 2012: 66-74

Sharad Nandanwar, M. Narasimha Murty: A Regularized Linear Classifier for Effective Text Classification. ICONIP (2) 2012: 218-225

Punya Murthy Chinta, M. Narasimha Murty: Discriminative Feature Analysis and Selection for Document Classification. ICONIP (1) 2012: 366-374

Jyoti Ranjan Adhikary, M. Narasimha Murty: Feature Selection for Unsupervised Learning. ICONIP (3) 2012: 382-389

Vinod Jadhao, M. Narasimha Murty: Hybrid Online Non-negative Matrix Factorization for Clustering of Documents. ICONIP (1) 2012: 516-523

Arghya Roy Chaudhuri, M. Narasimha Murty: On the relation between K-means and PLSA. ICPR 2012: 2298-2301

Geetha Manjunath, M. Narasimha Murty, Dinkar Sitaram: Combining Heterogeneous Classifiers for Relational Databases. CoRR abs/1201.2925 (2012)

D. M. V. Satya Sriram, Gaurav Pandey, Debarghya Ghoshdastidar, Ambedkar Dukkipati, M. Narasimha Murty: Maximum Entropy with Maximum J-Divergence Discrimination for Text Classification. CoRR abs/1205.0651 (2012)

I. Sathish Reddy, Shirish Krishnaj Shevade, M. Narasimha Murty: A fast quasi-Newton method for semi-supervised SVM. Pattern Recognition 44(10-11): 2305-2313 (2011)

Govind Sharma, M. Narasimha Murty: Mining Sentiments from Songs Using Latent Dirichlet Allocation. IDA 2011: 328-339

Radha Chitta, M. Narasimha Murty: Two-level k-means clustering algorithm for k-tau relationship establishment and linear-time classification. Pattern Recognition 43(3): 796-804 (2010)

T. Ravindra Babu, M. Narasimha Murty, S. V. Subrahmanya: Multiagent Based Large Data Clustering Scheme for Data Mining Applications. AMT 2010: 116-127

Ambedkar Dukkipati, Abhay Kumar Yadav, M. Narasimha Murty: Maximum Entropy Model Based Classification with Feature Selection. ICPR 2010: 565-568

Geetha Manjunath, M. Narasimha Murty, Dinkar Sitaram: A Practical Heterogeneous Classifier for Relational Databases. ICPR 2010: 3316-3319

R. Arun, V. Suresh, C. E. Veni Madhavan, M. Narasimha Murty: On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations. PAKDD (1) 2010: 391-402

Vikas K. Garg, M. Narasimha Murty: EPIC: Efficient Integration of Partitional Clustering Algorithms for Classification. SEAL 2010: 706-710

Vikas K. Garg, M. Narasimha Murty: Feature subspace SVMs (FS-SVMs) for high dimensional handwritten digit recognition. IJDMMM 1(4): 411-436 (2009)

Vikas K. Garg, M. Narasimha Murty: RACK: RApid clustering using K-means algorithm. CASE 2009: 621-626

Biswajit Paul, G. Athithan, M. Narasimha Murty: Speeding up AdaBoost Classifier with Random Projection. ICAPR 2009: 251-254

P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar: Pattern Synthesis for Nonparametric Pattern Recognition. Encyclopedia of Data Warehousing and Mining 2009: 1511-1516

V. Suresh Babu, P. Viswanath, M. Narasimha Murty: Scalable Non-Parametric Methods for Large Data Sets. Encyclopedia of Data Warehousing and Mining 2009: 1708-1713

B. N. Ranganath, M. Narasimha Murty: Stream-Close: Fast Mining of Closed Frequent Itemsets in High Speed Data Streams. ICDM Workshops 2008: 516-525

M. Narasimha Murty, Rashmin Babaria, Chiranjib Bhattacharyya: Clustering Based on Genetic Algorithms. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 137-159

Ambedkar Dukkipati, Shalabh Bhatnagar, M. Narasimha Murty: Gelfand-Yaglom-Perez theorem for generalized relative entropy functionals. Inf. Sci. 177(24): 5707-5714 (2007)

T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal: Classification of run-length encoded binary data. Pattern Recognition 40(1): 321-323 (2007)

S. Asharaf, M. Narasimha Murty, Shirish Krishnaj Shevade: Cluster Based Training for Scaling Non-linear Support Vector Machines. ICCTA 2007: 304-308

Dipti Deodhare, M. Vidyasagar, M. Narasimha Murty: A Unified Approach to Encoding and Classification Using Bimodal Projection-Based Features. ICCTA 2007: 348-354

S. Asharaf, M. Narasimha Murty, Shirish Krishnaj Shevade: Multiclass core vector machine. ICML 2007: 41-48

Rashmin Babaria, J. Saketha Nath, S. Krishnan, K. R. Sivaramakrishnan, Chiranjib Bhattacharyya, M. Narasimha Murty: Focused crawling with scalable ordinal regression solvers. ICML 2007: 57-64

A. P. Yogananda, M. Narasimha Murty, Lakshmi Gopal: A fast linear separability test by projection of positive points on subspaces. ICML 2007: 713-720

Seshikanth Varma, S. Asharaf, M. Narasimha Murty: Core Vector Clustering. IICAI 2007: 565-574

Ramasuri Narayanam, V. Santosh Srinivas, M. Narasimha Murty: A Cooperative Game Theoretic Approach to Prototype Selection. PKDD 2007: 556-564

Laxmi Kankanala, M. Narasimha Murty: Hybrid Approaches for Clustering. PReMI 2007: 25-32

Seshikanth Varma, S. Asharaf, M. Narasimha Murty: Rough Core Vector Clustering. PReMI 2007: 304-310

P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian: Efficient median based clustering and classification techniques for protein sequences. Pattern Anal. Appl. 9(2-3): 243-255 (2006)

P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian: Efficient bottom-up hybrid hierarchical clustering techniques for protein sequence classification. Pattern Recognition 39(12): 2344-2355 (2006)

S. Asharaf, M. Narasimha Murty, Shirish Krishnaj Shevade: Rough set based incremental clustering of interval data. Pattern Recognition Letters 27(6): 515-519 (2006)

P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar: Partition based pattern synthesis technique with efficient algorithms for nearest neighbor classification. Pattern Recognition Letters 27(14): 1714-1724 (2006)

Asharaf S, M. Narasimha Murty, Shirish Krishnaj Shevade: Cluster Based Core Vector Machine. ICDM 2006: 1038-1042

S. Asharaf, M. Narasimha Murty: Scalable non-linear Support Vector Machine using hierarchical clustering. ICPR (1) 2006: 908-911

Dipti Deodhare, M. Vidyasagar, M. Narasimha Murty: Bimodal Projection-based Features for Pattern Classification. IJCNN 2006: 4719-4726

J. Saketha Nath, Chiranjib Bhattacharyya, M. Narasimha Murty: Clustering based large margin classification: a scalable approach using SOCP formulation. KDD 2006: 674-679

Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar: On Measure Theoretic definitions of Generalized Information Measures and Maximum Entropy Prescriptions. CoRR abs/cs/0601080 (2006)

P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar: Overlap pattern synthesis with an efficient nearest neighbor classifier. Pattern Recognition 38(8): 1187-1195 (2005)

S. Asharaf, Shirish Krishnaj Shevade, M. Narasimha Murty: Rough support vector clustering. Pattern Recognition 38(10): 1779-1783 (2005)

Monu Agrawal, Neha Gupta, R. Shreelekshmi, M. Narasimha Murty: Efficient pattern synthesis for nearest neighbour classifier. Pattern Recognition 38(11): 2200-2203 (2005)

Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar: Information theoretic justification of Boltzmann selection and its generalization to Tsallis case. Congress on Evolutionary Computation 2005: 1667-1674

P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian: Analysis of Leader based Clustering Algorithms for Pattern Classification. IICAI 2005: 2072-2091

P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian: An Efficient Hybrid Hierarchical Agglomerative Clustering (HHAC) Technique for Partitioning Large Data Sets. PReMI 2005: 583-588

T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal: On Simultaneous Selection of Prototypes and Features in Large Data. PReMI 2005: 595-600

P. Viswanath, M. Narasimha Murty, Satish Kambala: An Efficient Parzen-Window Based Network Intrusion Detector Using a Pattern Synthesis Technique. PReMI 2005: 799-804

Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar: Uniqueness of Nonextensive entropy under Renyi's Recipe. CoRR abs/cs/0511078 (2005)

S. Asharaf, M. Narasimha Murty: A rough fuzzy approach to web usage categorization. Fuzzy Sets and Systems 148(1): 119-129 (2004)

P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian: An Efficient Hierarchical Clustering Algorithm for Protein Sequences. IJCSA 1(2): 61-75 (2004)

P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar: Fusion of multiple approximate nearest neighbor classifiers for fast and efficient classification. Information Fusion 5(4): 239-250 (2004)

P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian: Leaders - Subleaders: An efficient hierarchical clustering algorithm for large data sets. Pattern Recognition Letters 25(4): 505-513 (2004)

T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal: Hybrid Learning Scheme for Data Mining Applications. HIS 2004: 266-271

T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal: Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data. HIS 2004: 326-331

P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar: A Pattern Synthesis Technique with an Efficient Nearest Neighbor Classifier for Binary Pattern Recognition. ICPR (4) 2004: 416-419

P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian: An Efficient Technique for Protein Sequence Clustering and Classification. ICPR (2) 2004: 447-450

Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar: Generalized Evolutionary Algorithm based on Tsallis Statistics. CoRR cs.AI/0407037 (2004)

Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar: Cauchy Annealing Schedule: An Annealing Schedule for Boltzmann Selection Scheme in Evolutionary Algorithms. CoRR cs.AI/0408055 (2004)

D. K. Subramanian, V. S. Ananthanarayana, M. Narasimha Murty: Knowledge-based association rule mining using AND-OR taxonomies. Knowl.-Based Syst. 16(1): 37-45 (2003)

S. Asharaf, M. Narasimha Murty: An adaptive rough fuzzy single pass algorithm for clustering large data sets. Pattern Recognition 36(12): 3015-3018 (2003)

V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian: Tree structure for efficient data mining using rough sets. Pattern Recognition Letters 24(6): 851-862 (2003)

J. N. Manjunatha, K. R. Sivaramakrishnan, Raghavendra Kumar Pandey, M. Narasimha Murty: Citation prediction using time series approach KDD Cup 2003 (task 1). SIGKDD Explorations 5(2): 152-153 (2003)

S. V. N. Vishwanathan, Alex J. Smola, M. Narasimha Murty: SimpleSVM. ICML 2003: 760-767

V. Susheela Devi, M. Narasimha Murty: An incremental prototype set building technique. Pattern Recognition 35(2): 505-513 (2002)

S. V. N. Vishwanathan, M. Narasimha Murty: Jigsawing : A Method to Create Virtual Examples in OCR data. HIS 2002: 690-696

S. V. N. Vishwanathan, M. Narasimha Murty: Geometric SVM: A Fast and Intuitive SVM Algorithm. ICPR (2) 2002: 56-59

Jignashu Parikh, M. Narasimha Murty: Adapting Question Answering Techniques to the Web. Language Engineering Conference 2002: 163

T. Ravindra Babu, M. Narasimha Murty: Comparison of genetic algorithm based prototype selection schemes. Pattern Recognition 34(2): 523-525 (2001)

V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian: Multi-dimensional semantic clustering of large databases for association rule mining. Pattern Recognition 34(4): 939-941 (2001)

V. Vijaya Saradhi, M. Narasimha Murty: Bootstrapping for efficient handwritten digit recognition. Pattern Recognition 34(5): 1047-1056 (2001)

K. R. K. Murthy, S. Sathiya Keerthi, M. Narasimha Murty: Rule prepending and post-pruning approach to incremental learning of decision lists. Pattern Recognition 34(8): 1697-1699 (2001)

V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian: An incremental data mining algorithm for compact realization of prototypes. Pattern Recognition 34(11): 2249-2251 (2001)

V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian: Efficient clustering of large data sets. Pattern Recognition 34(12): 2561-2563 (2001)

S. V. N. Vishwanathan, M. Narasimha Murty: Use of Multi-category Proximal SVM for Data Set Reduction. HIS 2001: 19-24

S. V. N. Vishwanathan, M. Narasimha Murty: Kohonen's SOM with cache. Pattern Recognition 33(11): 1927-1929 (2000)

G. Phanendra Babu, M. Narasimha Murty, S. Sathiya Keerthi: A stochastic connectionist approach for global optimization with application to pattern clustering. IEEE Transactions on Systems, Man, and Cybernetics, Part B 30(1): 10-24 (2000)

Andreas Moser, M. Narasimha Murty: On the Scalability of Genetic Algorithms to Very Large-Scale Feature Selection. EvoWorkshops 2000: 77-86

V. S. Ananthanarayana, D. K. Subramanian, M. Narasimha Murty: Scalable, Distributed and Dynamic Mining of Association Rules. HiPC 2000: 559-566

Anil K. Jain, M. Narasimha Murty, Patrick J. Flynn: Data Clustering: A Review. ACM Comput. Surv. 31(3): 264-323 (1999)

V. E. Ramesh, M. Narasimha Murty: Off-line signature verification using genetically optimized weighted features. Pattern Recognition 32(2): 217-233 (1999)

Krishna Kummamuru, M. Narasimha Murty: Genetic K-means algorithm. IEEE Transactions on Systems, Man, and Cybernetics, Part B 29(3): 433-439 (1999)

M. Prakash, M. Narasimha Murty: Hebbian learning subspace method: A new approach. Pattern Recognition 30(1): 141-149 (1997)

M. Prakash, M. Narasimha Murty: Growing subspace pattern recognition methods and their neural-network models. IEEE Trans. Neural Netw. Learning Syst. 8(1): 161-168 (1997)

M. Prakash, M. Narasimha Murty: Extended subspace methods of pattern recognition. Pattern Recognition Letters 17(11): 1131-1139 (1996)

M. Narasimha Murty, Anil K. Jain: Knowledge-based clustering scheme for collection management and retrieval of library books. Pattern Recognition 28(7): 949-963 (1995)

G. Phanendra Babu, M. Narasimha Murty: Optimal thresholding using multi-state stochastic connectionist approach. Pattern Recognition Letters 16(1): 11-18 (1995)

M. Prakash, M. Narasimha Murty: A genetic approach for selection of (near-) optimal subsets of principal components for discrimination. Pattern Recognition Letters 16(8): 781-787 (1995)

V. Sridhar, M. Narasimha Murty: A deductive clustering approach. J. Exp. Theor. Artif. Intell. 6(2): 195-237 (1994)

V. Sridhar, M. Narasimha Murty: Knowledge-based clustering approach for data abstraction. Knowl.-Based Syst. 7(2): 103-113 (1994)

G. Phanendra Babu, M. Narasimha Murty: Clustering with evolution strategies. Pattern Recognition 27(2): 321-329 (1994)

V. Sridhar, M. Narasimha Murty: Belief revision - an axiomatic approach. Journal of Intelligent and Robotic Systems 8(2): 127-153 (1993)

G. Phanendra Babu, M. Narasimha Murty: A near-optimal initial seed value selection in K-means means algorithm using a genetic algorithm. Pattern Recognition Letters 14(10): 763-769 (1993)

V. Sridhar, M. Narasimha Murty: Model-theoretic approach to clustering. Knowl.-Based Syst. 4(2): 87-94 (1991)

Suresh S. Chitoor, M. Narasimha Murty, Malini K. Bhandaru: A new data structure HC-expression for learning from examples. Pattern Recognition 24(1): 19-29 (1991)

Malini K. Bhandaru, M. Narasimha Murty: Incremental learning from examples using HC-expressions. Pattern Recognition 24(4): 273-282 (1991)

V. Sridhar, M. Narasimha Murty: Clustering algorithms for library comparison. Pattern Recognition 24(9): 815-823 (1991)

V. Sridhar, M. Narasimha Murty: A knowledge-based clustering algorithm. Pattern Recognition Letters 12(8): 511-517 (1991)

Anurag Srivastava, M. Narasimha Murty: A comparison between conceptual clustering and conventional clustering. Pattern Recognition 23(9): 975-981 (1990)

B. Shekar, M. Narasimha Murty, G. Krishna: A knowledge-based approach to pattern generation. Pattern Recognition 23(11): 1299-1306 (1990)

Sabyasachy Choudhury, M. Narasimha Murty: A divisive scheme for constructing minimal spanning trees in coordinate space. Pattern Recognition Letters 11(6): 385-389 (1990)

B. Shekar, M. Narasimha Murty, G. Krishna: The Function-Acquisition Paradigm in a Knowledge-Based Concept-Synthesis Environment. ALT 1990: 97-108

B. Shekar, M. Narasimha Murty, G. Krishna: Knowledge-based learning using Conceptual Transformers. Journal of Intelligent and Robotic Systems 2(4): 361-379 (1989)

B. Shekar, M. Narasimha Murty, G. Krishna: Structural aspects of semantic-directed clusters. Pattern Recognition 22(1): 65-74 (1989)

B. Shekar, M. Narasimha Murty, G. Krishna: Pattern Clustering: An Artificial Intelligence Approach. IJCAI 1987: 214-216

M. Narasimha Murty, G. Krishna: A hybrid clustering procedure for concentric and chain-like clusters. International Journal of Parallel Programming 10(6): 397-412 (1981)

M. Narasimha Murty, G. Krishna: A computationally efficient technique for data-clustering. Pattern Recognition 12(3): 153-158 (1980)