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

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

2007 | ||

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

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

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

80 | EE | 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 |

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

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

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

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

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

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

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

2006 | ||

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

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

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

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

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

67 | EE | 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) |

66 | EE | 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) |

65 | EE | 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) |

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

2005 | ||

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

62 | EE | 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 |

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

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

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

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

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

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

2004 | ||

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

54 | EE | 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 |

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

52 | EE | 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 |

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

50 | EE | 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) |

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

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

47 | EE | 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) |

46 | EE | 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) |

2003 | ||

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

44 | EE | 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) |

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

42 | EE | 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) |

41 | EE | 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) |

2002 | ||

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

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

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

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

2001 | ||

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

35 | EE | 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) |

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

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

32 | EE | 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) |

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

30 | EE | 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) |

2000 | ||

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

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

27 | 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) | |

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

1999 | ||

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

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

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

1997 | ||

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

1996 | ||

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

1995 | ||

20 | EE | 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) |

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

18 | EE | 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) |

1994 | ||

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

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

1993 | ||

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

14 | EE | 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) |

1991 | ||

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

12 | EE | 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) |

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

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

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

1990 | ||

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

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

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

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

1989 | ||

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

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

1987 | ||

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

1980 | ||

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