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M. Narasimha Murty Vis

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*2008
85EEB. N. Ranganath, M. Narasimha Murty: Stream-Close: Fast Mining of Closed Frequent Itemsets in High Speed Data Streams. ICDM Workshops 2008: 516-525
84EEM. Narasimha Murty, Rashmin Babaria, Chiranjib Bhattacharyya: Clustering Based on Genetic Algorithms. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 137-159
2007
83EES. Asharaf, M. Narasimha Murty, Shirish Krishnaj Shevade: Cluster Based Training for Scaling Non-linear Support Vector Machines. ICCTA 2007: 304-308
82EEDipti Deodhare, M. Vidyasagar, M. Narasimha Murty: A Unified Approach to Encoding and Classification Using Bimodal Projection-Based Features. ICCTA 2007: 348-354
81EES. Asharaf, M. Narasimha Murty, Shirish Krishnaj Shevade: Multiclass core vector machine. ICML 2007: 41-48
80EERashmin 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
79EEA. 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
77EERamasuri Narayanam, V. Santosh Srinivas, M. Narasimha Murty: A Cooperative Game Theoretic Approach to Prototype Selection. PKDD 2007: 556-564
76EELaxmi Kankanala, M. Narasimha Murty: Hybrid Approaches for Clustering. PReMI 2007: 25-32
75EESeshikanth Varma, S. Asharaf, M. Narasimha Murty: Rough Core Vector Clustering. PReMI 2007: 304-310
74EEAmbedkar Dukkipati, Shalabh Bhatnagar, M. Narasimha Murty: Gelfand-Yaglom-Perez theorem for generalized relative entropy functionals. Inf. Sci. 177(24): 5707-5714 (2007)
73EET. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal: Classification of run-length encoded binary data. Pattern Recognition 40(1): 321-323 (2007)
2006
72EEAsharaf S, M. Narasimha Murty, Shirish Krishnaj Shevade: Cluster Based Core Vector Machine. ICDM 2006: 1038-1042
71EES. Asharaf, M. Narasimha Murty: Scalable non-linear Support Vector Machine using hierarchical clustering. ICPR (1) 2006: 908-911
70EEDipti Deodhare, M. Vidyasagar, M. Narasimha Murty: Bimodal Projection-based Features for Pattern Classification. IJCNN 2006: 4719-4726
69EEJ. Saketha Nath, Chiranjib Bhattacharyya, M. Narasimha Murty: Clustering based large margin classification: a scalable approach using SOCP formulation. KDD 2006: 674-679
68EEAmbedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar: On Measure Theoretic definitions of Generalized Information Measures and Maximum Entropy Prescriptions CoRR abs/cs/0601080: (2006)
67EEP. 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)
66EEP. 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)
65EEP. 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)
64EES. 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
62EEP. 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
61EET. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal: On Simultaneous Selection of Prototypes and Features in Large Data. PReMI 2005: 595-600
60EEP. Viswanath, M. Narasimha Murty, Satish Kambala: An Efficient Parzen-Window Based Network Intrusion Detector Using a Pattern Synthesis Technique. PReMI 2005: 799-804
59EEAmbedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar: Uniqueness of Nonextensive entropy under Renyi's Recipe CoRR abs/cs/0511078: (2005)
58EES. Asharaf, Shirish Krishnaj Shevade, M. Narasimha Murty: Rough support vector clustering. Pattern Recognition 38(10): 1779-1783 (2005)
57EEMonu Agrawal, Neha Gupta, R. Shreelekshmi, M. Narasimha Murty: Efficient pattern synthesis for nearest neighbour classifier. Pattern Recognition 38(11): 2200-2203 (2005)
56EEP. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar: Overlap pattern synthesis with an efficient nearest neighbor classifier. Pattern Recognition 38(8): 1187-1195 (2005)
2004
55EET. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal: Hybrid Learning Scheme for Data Mining Applications. HIS 2004: 266-271
54EET. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal: Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data. HIS 2004: 326-331
53EEP. A. Vijaya, M. Narasimha Murty, D. K. Subramanian: An Efficient Technique for Protein Sequence Clustering and Classification. ICPR (2) 2004: 447-450
52EEP. 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
51EEAmbedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar: Generalized Evolutionary Algorithm based on Tsallis Statistics CoRR cs.AI/0407037: (2004)
50EEAmbedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar: Cauchy Annealing Schedule: An Annealing Schedule for Boltzmann Selection Scheme in Evolutionary Algorithms CoRR cs.AI/0408055: (2004)
49EES. Asharaf, M. Narasimha Murty: A rough fuzzy approach to web usage categorization. Fuzzy Sets and Systems 148(1): 119-129 (2004)
48EEP. A. Vijaya, M. Narasimha Murty, D. K. Subramanian: An Efficient Hierarchical Clustering Algorithm for Protein Sequences. IJCSA 1(2): 61-75 (2004)
47EEP. 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)
46EEP. 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
44EED. 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)
43EES. Asharaf, M. Narasimha Murty: An adaptive rough fuzzy single pass algorithm for clustering large data sets. Pattern Recognition 36(12): 3015-3018 (2003)
42EEV. 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)
41EEJ. 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
39EES. V. N. Vishwanathan, M. Narasimha Murty: Geometric SVM: A Fast and Intuitive SVM Algorithm. ICPR (2) 2002: 56-59
38EEJignashu Parikh, M. Narasimha Murty: Adapting Question Answering Techniques to the Web. Language Engineering Conference 2002: 163
37EEV. 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
35EEV. 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)
34EEV. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian: Efficient clustering of large data sets. Pattern Recognition 34(12): 2561-2563 (2001)
33EET. Ravindra Babu, M. Narasimha Murty: Comparison of genetic algorithm based prototype selection schemes. Pattern Recognition 34(2): 523-525 (2001)
32EEV. 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)
31EEV. Vijaya Saradhi, M. Narasimha Murty: Bootstrapping for efficient handwritten digit recognition. Pattern Recognition 34(5): 1047-1056 (2001)
30EEK. 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
28EEV. 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)
26EES. V. N. Vishwanathan, M. Narasimha Murty: Kohonen's SOM with cache. Pattern Recognition 33(11): 1927-1929 (2000)
1999
25EEAnil 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)
23EEV. E. Ramesh, M. Narasimha Murty: Off-line signature verification using genetically optimized weighted features. Pattern Recognition 32(2): 217-233 (1999)
1997
22EEM. Prakash, M. Narasimha Murty: Hebbian learning subspace method: A new approach. Pattern Recognition 30(1): 141-149 (1997)
1996
21EEM. Prakash, M. Narasimha Murty: Extended subspace methods of pattern recognition. Pattern Recognition Letters 17(11): 1131-1139 (1996)
1995
20EEM. Narasimha Murty, Anil K. Jain: Knowledge-based clustering scheme for collection management and retrieval of library books. Pattern Recognition 28(7): 949-963 (1995)
19EEG. Phanendra Babu, M. Narasimha Murty: Optimal thresholding using multi-state stochastic connectionist approach. Pattern Recognition Letters 16(1): 11-18 (1995)
18EEM. 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
17EEV. Sridhar, M. Narasimha Murty: Knowledge-based clustering approach for data abstraction. Knowl.-Based Syst. 7(2): 103-113 (1994)
16EEG. Phanendra Babu, M. Narasimha Murty: Clustering with evolution strategies. Pattern Recognition 27(2): 321-329 (1994)
1993
15EEV. Sridhar, M. Narasimha Murty: Belief revision - an axiomatic approach. Journal of Intelligent and Robotic Systems 8(2): 127-153 (1993)
14EEG. 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
13EEV. Sridhar, M. Narasimha Murty: Model-theoretic approach to clustering. Knowl.-Based Syst. 4(2): 87-94 (1991)
12EESuresh 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)
11EEMalini K. Bhandaru, M. Narasimha Murty: Incremental learning from examples using HC-expressions. Pattern Recognition 24(4): 273-282 (1991)
10EEV. 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
7EEB. Shekar, M. Narasimha Murty, G. Krishna: A knowledge-based approach to pattern generation. Pattern Recognition 23(11): 1299-1306 (1990)
6EEAnurag Srivastava, M. Narasimha Murty: A comparison between conceptual clustering and conventional clustering. Pattern Recognition 23(9): 975-981 (1990)
5EESabyasachy Choudhury, M. Narasimha Murty: A divisive scheme for constructing minimal spanning trees in coordinate space. Pattern Recognition Letters 11(6): 385-389 (1990)
1989
4EEB. Shekar, M. Narasimha Murty, G. Krishna: Knowledge-based learning using Conceptual Transformers. Journal of Intelligent and Robotic Systems 2(4): 361-379 (1989)
3EEB. 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
1EEM. Narasimha Murty, G. Krishna: A computationally efficient technique for data-clustering. Pattern Recognition 12(3): 153-158 (1980)

Coauthor Index

1Monu Agrawal [57]
2Vijay K. Agrawal [54] [55] [61] [73]
3V. S. Ananthanarayana [28] [32] [34] [35] [42] [44]
4S. Asharaf [43] [49] [58] [64] [71] [75] [78] [81] [83]
5Rashmin Babaria [80] [84]
6G. Phanendra Babu [14] [16] [19] [27]
7T. Ravindra Babu [33] [54] [55] [61] [73]
8Malini K. Bhandaru [11] [12]
9Shalabh Bhatnagar [47] [50] [51] [52] [56] [59] [65] [68] [74]
10Chiranjib Bhattacharyya (Chiru Bhattacharyya) [69] [80] [84]
11Suresh S. Chitoor [12]
12Sabyasachy Choudhury [5]
13Dipti Deodhare [70] [82]
14V. Susheela Devi [37]
15Ambedkar Dukkipati [50] [51] [59] [68] [74]
16Patrick J. Flynn [25]
17Lakshmi Gopal [79]
18Neha Gupta [57]
19Anil K. Jain [20] [25]
20Satish Kambala [60]
21Laxmi Kankanala [76]
22S. Sathiya Keerthi [27] [30]
23G. Krishna [1] [2] [3] [4] [7] [8]
24K. Krishna [24]
25S. Krishnan [80]
26J. N. Manjunatha [41]
27Andreas Moser [29]
28K. R. K. Murthy [30]
29Ramasuri Narayanam [77]
30J. Saketha Nath [69] [80]
31Raghavendra Kumar Pandey [41]
32Jignashu Parikh [38]
33M. Prakash [18] [21] [22]
34V. E. Ramesh [23]
35B. N. Ranganath [85]
36Asharaf S [72]
37V. Vijaya Saradhi [31]
38B. Shekar [2] [3] [4] [7] [8]
39Shirish Krishnaj Shevade [58] [64] [72] [81] [83]
40R. Shreelekshmi [57]
41K. R. Sivaramakrishnan [41] [80]
42Alexander J. Smola (Alex J. Smola) [45]
43V. Sridhar [9] [10] [13] [15] [17]
44V. Santosh Srinivas [77]
45Anurag Srivastava [6]
46D. K. Subramanian [28] [32] [34] [35] [42] [44] [46] [48] [53] [62] [63] [66] [67]
47Seshikanth Varma [75] [78]
48M. Vidyasagar [70] [82]
49P. A. Vijaya [46] [48] [53] [62] [63] [66] [67]
50S. V. N. Vishwanathan (Vishy Vishwanathan) [26] [36] [39] [40] [45]
51P. Viswanath [47] [52] [56] [60] [65]
52A. P. Yogananda [79]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)