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ORCIDM. Narasimha Murty
Musti Narasimha Murty – Narasimha Murty Musti
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- affiliation: ERNET, India
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Books and Theses
- 2019
[b4]N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan:
Outlier Detection: Techniques and Applications - A Data Mining Perspective. Intelligent Systems Reference Library 155, Springer 2019, ISBN 978-3-030-05125-9, pp. 3-202- 2015
- [b3]M. Narasimha Murty, V. Susheela Devi:
Introduction to Pattern Recognition and Machine Learning. IISc Lecture Notes Series 5, WorldScientific 2015, ISBN 9789814335454, pp. 1-404 - 2013
- [b2]T. Ravindra Babu, M. Narasimha Murty, S. V. Subrahmanya:
Compression Schemes for Mining Large Datasets - A Machine Learning Perspective. Advances in Computer Vision and Pattern Recognition, Springer 2013, ISBN 978-1-4471-5606-2, pp. 1-183 - 2011
- [b1]M. Narasimha Murty, V. Susheela Devi:
Pattern Recognition - An Algorithmic Approach. Undergraduate Topics in Computer Science, Springer 2011, ISBN 978-0-85729-494-4, pp. I-XI, 1-263
Journal Articles
- 2016
- [j64]Hari Seetha
, M. Narasimha Murty, R. Saravanan:
Classification by majority voting in feature partitions. Int. J. Inf. Decis. Sci. 8(2): 109-124 (2016) - [j63]N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan:
Detecting outliers in categorical data through rough clustering. Nat. Comput. 15(3): 385-394 (2016) - 2015
- [j62]Shyni Thomas, Dipti Deodhare, M. Narasimha Murty:
Extended Conflict-Based Search for the Convoy Movement Problem. IEEE Intell. Syst. 30(6): 60-70 (2015) - [j61]Hari Seetha, M. Narasimha Murty, R. Saravanan:
Effective feature selection technique for text classification. Int. J. Data Min. Model. Manag. 7(3): 165-184 (2015) - 2014
- [j60]N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan:
A ranking-based algorithm for detection of outliers in categorical data. Int. J. Hybrid Intell. Syst. 11(1): 1-11 (2014) - 2013
- [j59]Geetha Manjunath, M. Narasimha Murty, Dinkar Sitaram:
Tasklets: enabling end user programming of web widgets. Int. J. Web Eng. Technol. 8(3): 264-290 (2013) - [j58]Geetha Manjunath, M. Narasimha Murty, Dinkar Sitaram:
Combining heterogeneous classifiers for relational databases. Pattern Recognit. 46(1): 317-324 (2013) - [j57]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) - 2011
- [j56]I. Sathish Reddy, Shirish K. Shevade, M. Narasimha Murty:
A fast quasi-Newton method for semi-supervised SVM. Pattern Recognit. 44(10-11): 2305-2313 (2011) - 2010
- [j55]Radha Chitta, M. Narasimha Murty:
Two-level k-means clustering algorithm for k-tau relationship establishment and linear-time classification. Pattern Recognit. 43(3): 796-804 (2010) - 2009
- [j54]Vikas K. Garg, M. Narasimha Murty:
Feature subspace SVMs (FS-SVMs) for high dimensional handwritten digit recognition. Int. J. Data Min. Model. Manag. 1(4): 411-436 (2009) - 2007
- [j53]Ambedkar Dukkipati, Shalabh Bhatnagar, M. Narasimha Murty:
Gelfand-Yaglom-Perez theorem for generalized relative entropy functionals. Inf. Sci. 177(24): 5707-5714 (2007) - [j52]T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal:
Classification of run-length encoded binary data. Pattern Recognit. 40(1): 321-323 (2007) - 2006
- [j51]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) - [j50]P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian:
Efficient bottom-up hybrid hierarchical clustering techniques for protein sequence classification. Pattern Recognit. 39(12): 2344-2355 (2006) - [j49]S. Asharaf, M. Narasimha Murty, Shirish K. Shevade:
Rough set based incremental clustering of interval data. Pattern Recognit. Lett. 27(6): 515-519 (2006) - [j48]P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar:
Partition based pattern synthesis technique with efficient algorithms for nearest neighbor classification. Pattern Recognit. Lett. 27(14): 1714-1724 (2006) - 2005
- [j47]P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar:
Overlap pattern synthesis with an efficient nearest neighbor classifier. Pattern Recognit. 38(8): 1187-1195 (2005) - [j46]S. Asharaf, Shirish K. Shevade, M. Narasimha Murty:
Rough support vector clustering. Pattern Recognit. 38(10): 1779-1783 (2005) - [j45]Monu Agrawal, Neha Gupta, R. Shreelekshmi, M. Narasimha Murty:
Efficient pattern synthesis for nearest neighbour classifier. Pattern Recognit. 38(11): 2200-2203 (2005) - 2004
- [j44]S. Asharaf, M. Narasimha Murty:
A rough fuzzy approach to web usage categorization. Fuzzy Sets Syst. 148(1): 119-129 (2004) - [j43]P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian:
An Efficient Hierarchical Clustering Algorithm for Protein Sequences. Int. J. Comput. Sci. Appl. 1(2): 61-75 (2004) - [j42]P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar:
Fusion of multiple approximate nearest neighbor classifiers for fast and efficient classification. Inf. Fusion 5(4): 239-250 (2004) - [j41]P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian:
Leaders - Subleaders: An efficient hierarchical clustering algorithm for large data sets. Pattern Recognit. Lett. 25(4): 505-513 (2004) - 2003
- [j40]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) - [j39]S. Asharaf, M. Narasimha Murty:
An adaptive rough fuzzy single pass algorithm for clustering large data sets. Pattern Recognit. 36(12): 3015-3018 (2003) - [j38]V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian:
Tree structure for efficient data mining using rough sets. Pattern Recognit. Lett. 24(6): 851-862 (2003) - [j37]J. N. Manjunatha, K. R. Sivaramakrishnan, Raghavendra Kumar Pandey, M. Narasimha Murty:
Citation prediction using time series approach KDD Cup 2003 (task 1). SIGKDD Explor. 5(2): 152-153 (2003) - 2002
- [j36]V. Susheela Devi, M. Narasimha Murty:
An incremental prototype set building technique. Pattern Recognit. 35(2): 505-513 (2002) - 2001
- [j35]T. Ravindra Babu, M. Narasimha Murty:
Comparison of genetic algorithm based prototype selection schemes. Pattern Recognit. 34(2): 523-525 (2001) - [j34]V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian:
Multi-dimensional semantic clustering of large databases for association rule mining. Pattern Recognit. 34(4): 939-941 (2001) - [j33]V. Vijaya Saradhi, M. Narasimha Murty:
Bootstrapping for efficient handwritten digit recognition. Pattern Recognit. 34(5): 1047-1056 (2001) - [j32]K. R. K. Murthy, S. Sathiya Keerthi, M. Narasimha Murty:
Rule prepending and post-pruning approach to incremental learning of decision lists. Pattern Recognit. 34(8): 1697-1699 (2001) - [j31]V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian:
An incremental data mining algorithm for compact realization of prototypes. Pattern Recognit. 34(11): 2249-2251 (2001) - [j30]V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian:
Efficient clustering of large data sets. Pattern Recognit. 34(12): 2561-2563 (2001) - 2000
- [j29]S. V. N. Vishwanathan, M. Narasimha Murty:
Kohonen's SOM with cache. Pattern Recognit. 33(11): 1927-1929 (2000) - [j28]G. Phanendra Babu, M. Narasimha Murty, S. Sathiya Keerthi:
A stochastic connectionist approach for global optimization with application to pattern clustering. IEEE Trans. Syst. Man Cybern. Part B 30(1): 10-24 (2000) - 1999
- [j27]Anil K. Jain, M. Narasimha Murty, Patrick J. Flynn:
Data Clustering: A Review. ACM Comput. Surv. 31(3): 264-323 (1999) - [j26]V. E. Ramesh, M. Narasimha Murty:
Off-line signature verification using genetically optimized weighted features. Pattern Recognit. 32(2): 217-233 (1999) - [j25]Krishna Kummamuru, M. Narasimha Murty:
Genetic K-means algorithm. IEEE Trans. Syst. Man Cybern. Part B 29(3): 433-439 (1999) - 1997
- [j24]M. Prakash, M. Narasimha Murty:
Hebbian learning subspace method: A new approach. Pattern Recognit. 30(1): 141-149 (1997) - [j23]M. Prakash, M. Narasimha Murty:
Growing subspace pattern recognition methods and their neural-network models. IEEE Trans. Neural Networks 8(1): 161-168 (1997) - 1996
- [j22]M. Prakash, M. Narasimha Murty:
Extended subspace methods of pattern recognition. Pattern Recognit. Lett. 17(11): 1131-1139 (1996) - 1995
- [j21]M. Narasimha Murty, Anil K. Jain:
Knowledge-based clustering scheme for collection management and retrieval of library books. Pattern Recognit. 28(7): 949-963 (1995) - [j20]G. Phanendra Babu, M. Narasimha Murty:
Optimal thresholding using multi-state stochastic connectionist approach. Pattern Recognit. Lett. 16(1): 11-18 (1995) - [j19]M. Prakash, M. Narasimha Murty:
A genetic approach for selection of (near-) optimal subsets of principal components for discrimination. Pattern Recognit. Lett. 16(8): 781-787 (1995) - 1994
- [j18]V. Sridhar, M. Narasimha Murty:
A deductive clustering approach. J. Exp. Theor. Artif. Intell. 6(2): 195-237 (1994) - [j17]V. Sridhar, M. Narasimha Murty:
Knowledge-based clustering approach for data abstraction. Knowl. Based Syst. 7(2): 103-113 (1994) - [j16]G. Phanendra Babu, M. Narasimha Murty:
Clustering with evolution strategies. Pattern Recognit. 27(2): 321-329 (1994) - 1993
- [j15]V. Sridhar, M. Narasimha Murty:
Belief revision - an axiomatic approach. J. Intell. Robotic Syst. 8(2): 127-153 (1993) - [j14]G. Phanendra Babu, M. Narasimha Murty:
A near-optimal initial seed value selection in K-means means algorithm using a genetic algorithm. Pattern Recognit. Lett. 14(10): 763-769 (1993) - 1991
- [j13]V. Sridhar, M. Narasimha Murty:
Model-theoretic approach to clustering. Knowl. Based Syst. 4(2): 87-94 (1991) - [j12]Suresh S. Chitoor, M. Narasimha Murty, Malini K. Bhandaru:
A new data structure HC-expression for learning from examples. Pattern Recognit. 24(1): 19-29 (1991) - [j11]Malini K. Bhandaru, M. Narasimha Murty:
Incremental learning from examples using HC-expressions. Pattern Recognit. 24(4): 273-282 (1991) - [j10]V. Sridhar, M. Narasimha Murty:
Clustering algorithms for library comparison. Pattern Recognit. 24(9): 815-823 (1991) - [j9]V. Sridhar, M. Narasimha Murty:
A knowledge-based clustering algorithm. Pattern Recognit. Lett. 12(8): 511-517 (1991) - 1990
- [j8]Anurag Srivastava, M. Narasimha Murty:
A comparison between conceptual clustering and conventional clustering. Pattern Recognit. 23(9): 975-981 (1990) - [j7]B. Shekar, M. Narasimha Murty, G. Krishna:
A knowledge-based approach to pattern generation. Pattern Recognit. 23(11): 1299-1306 (1990) - [j6]Sabyasachy Choudhury, M. Narasimha Murty:
A divisive scheme for constructing minimal spanning trees in coordinate space. Pattern Recognit. Lett. 11(6): 385-389 (1990) - 1989
- [j5]B. Shekar, M. Narasimha Murty, G. Krishna:
Knowledge-based learning using Conceptual Transformers. J. Intell. Robotic Syst. 2(4): 361-379 (1989) - [j4]B. Shekar, M. Narasimha Murty, G. Krishna:
Structural aspects of semantic-directed clusters. Pattern Recognit. 22(1): 65-74 (1989) - 1987
- [j3]B. Shekar, M. Narasimha Murty, G. Krishna:
A knowledge-based clustering scheme. Pattern Recognit. Lett. 5(4): 253-259 (1987) - 1981
- [j2]M. Narasimha Murty, G. Krishna:
A hybrid clustering procedure for concentric and chain-like clusters. Int. J. Parallel Program. 10(6): 397-412 (1981) - 1980
- [j1]M. Narasimha Murty, G. Krishna:
A computationally efficient technique for data-clustering. Pattern Recognit. 12(3): 153-158 (1980)
Conference and Workshop Papers
- 2024
- [c83]Ashish Srivastava, Shalabh Bhatnagar, M. Narasimha Murty, Jagannathan Ramanujam:
Learning Dynamic Representations in Large Language Models for Evolving Data Streams. ICPR (5) 2024: 239-253 - 2021
- [c82]Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty:
A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention. PAKDD (1) 2021: 554-565 - 2020
- [c81]Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty:
Self-supervised Hierarchical Graph Neural Network for Graph Representation. IEEE BigData 2020: 603-608 - [c80]Sambaran Bandyopadhyay, Kishalay Das, M. Narasimha Murty:
Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion. IEEE BigData 2020: 669-678 - [c79]Sambaran Bandyopadhyay, Saley Vishal Vivek, M. Narasimha Murty:
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description. ECAI 2020: 976-983 - [c78]Govind Sharma, Prasanna Patil, M. Narasimha Murty:
C3MM: Clique-Closure based Hyperlink Prediction. IJCAI 2020: 3364-3370 - [c77]Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty:
GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation. PAKDD (1) 2020: 28-40 - [c76]Prasanna Patil, Govind Sharma, M. Narasimha Murty:
Negative Sampling for Hyperlink Prediction in Networks. PAKDD (2) 2020: 607-619 - [c75]M. Vijaikumar, Shirish K. Shevade, M. Narasimha Murty:
GRAM-SMOT: Top-N Personalized Bundle Recommendation via Graph Attention Mechanism and Submodular Optimization. ECML/PKDD (3) 2020: 297-313 - [c74]Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty:
Neural Cross-Domain Collaborative Filtering with Shared Entities. ECML/PKDD (1) 2020: 729-745 - [c73]Sambaran Bandyopadhyay, Lokesh N, Saley Vishal Vivek, M. Narasimha Murty:
Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding. WSDM 2020: 25-33 - 2019
- [c72]Sambaran Bandyopadhyay, Lokesh Nagalapatti, M. Narasimha Murty:
Outlier Aware Network Embedding for Attributed Networks. AAAI 2019: 12-19 - [c71]Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty:
SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social Recommendation. ECML/PKDD (1) 2019: 430-446 - [c70]Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty:
TagEmbedSVD: Leveraging Tag Embeddings for Cross-Domain Collaborative Filtering. PReMI (2) 2019: 240-248 - 2018
- [c69]Sharad Nandanwar, M. Narasimha Murty:
Overlap-Robust Decision Boundary Learning for Within-Network Classification. AAAI 2018: 3844-3851 - [c68]Sambaran Bandyopadhyay, Sharad Nandanwar, Rishabh Deshmukh, Narasimha Murty Musti:
DivGroup: A Diversified Approach to Divide Collection of Patterns into Uniform Groups. ICPR 2018: 964-969 - [c67]Sambaran Bandyopadhyay, Ramasuri Narayanam, M. Narasimha Murty:
A Generic Axiomatic Characterization for Measuring Influence in Social Networks. ICPR 2018: 2606-2611 - [c66]Sharad Nandanwar, Aayush Moroney, M. Narasimha Murty:
Fusing Diversity in Recommendations in Heterogeneous Information Networks. WSDM 2018: 414-422 - 2017
- [c65]Rakesh Agrawal, Sharad Nandanwar, Narasimha Murty Musti:
Grouping Students for Maximizing Learning from Peers. EDM 2017 - 2016
- [c64]Sambaran Bandyopadhyay, M. Narasimha Murty:
Axioms to characterize efficient incremental clustering. ICPR 2016: 450-455 - [c63]Sharad Nandanwar, M. Narasimha Murty:
Structural Neighborhood Based Classification of Nodes in a Network. KDD 2016: 1085-1094 - 2015
- [c62]Soniya Rangnani, V. Susheela Devi, M. Narasimha Murty:
Autoregressive Model for Users' Retweeting Profiles. SocInfo 2015: 178-193 - 2014
- [c61]Sneha Chaudhari, M. Narasimha Murty:
Average Overlap for Clustering Incomplete Data Using Symmetric Non-negative Matrix Factorization. ICPR 2014: 1431-1436 - [c60]N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan:
Characterizing Temporal Anomalies in Evolving Networks. PAKDD (1) 2014: 422-433 - 2013
- [c59]Sreya Dey, M. Narasimha Murty:
Using Discriminative Phrases for Text Categorization. ICONIP (2) 2013: 273-280 - [c58]Punya Murthy Chinta, Balamurugan P., Shirish K. Shevade, M. Narasimha Murty:
Optimizing F-measure with non-convex loss and sparse linear classifiers. IJCNN 2013: 1-8 - [c57]Samrat Kokkula, Narasimha Murty Musti:
Classification and Outlier Detection Based on Topic Based Pattern Synthesis. MLDM 2013: 99-114 - [c56]N. N. R. Ranga Suri, Musti Narasimha Murty, Gopalasamy Athithan:
Mining Anomalous Sub-graphs in Graph Data Using Non-negative Matrix Factorization. PReMI 2013: 88-93 - [c55]N. N. R. Ranga Suri, Musti Narasimha Murty, Gopalasamy Athithan:
A Rough Clustering Algorithm for Mining Outliers in Categorical Data. PReMI 2013: 170-175 - 2012
- [c54]N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan:
An algorithm for mining outliers in categorical data through ranking. HIS 2012: 247-252 - [c53]N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan:
Unsupervised feature selection for outlier detection in categorical data using mutual information. HIS 2012: 253-258 - [c52]Karthik Nagesh, M. Narasimha Murty:
Obtaining Single Document Summaries Using Latent Dirichlet Allocation. ICONIP (4) 2012: 66-74 - [c51]Sharad Nandanwar, M. Narasimha Murty:
A Regularized Linear Classifier for Effective Text Classification. ICONIP (2) 2012: 218-225 - [c50]Punya Murthy Chinta, M. Narasimha Murty:
Discriminative Feature Analysis and Selection for Document Classification. ICONIP (1) 2012: 366-374 - [c49]Jyoti Ranjan Adhikary, M. Narasimha Murty:
Feature Selection for Unsupervised Learning. ICONIP (3) 2012: 382-389 - [c48]Vinod Jadhao, M. Narasimha Murty:
Hybrid Online Non-negative Matrix Factorization for Clustering of Documents. ICONIP (1) 2012: 516-523 - [c47]Arghya Roy Chaudhuri, M. Narasimha Murty:
On the relation between K-means and PLSA. ICPR 2012: 2298-2301 - [c46]Deepak Gujraniya, M. Narasimha Murty:
Efficient classification using phrases generated by topic models. ICPR 2012: 2331-2334 - 2011
- [c45]Govind Sharma, M. Narasimha Murty:
Mining Sentiments from Songs Using Latent Dirichlet Allocation. IDA 2011: 328-339 - 2010
- [c44]T. Ravindra Babu, M. Narasimha Murty, S. V. Subrahmanya:
Multiagent Based Large Data Clustering Scheme for Data Mining Applications. AMT 2010: 116-127 - [c43]Ambedkar Dukkipati, Abhay Kumar Yadav, M. Narasimha Murty:
Maximum Entropy Model Based Classification with Feature Selection. ICPR 2010: 565-568 - [c42]Geetha Manjunath, M. Narasimha Murty, Dinkar Sitaram:
A Practical Heterogeneous Classifier for Relational Databases. ICPR 2010: 3316-3319 - [c41]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 - [c40]Vikas K. Garg, M. Narasimha Murty:
EPIC: Efficient Integration of Partitional Clustering Algorithms for Classification. SEAL 2010: 706-710 - 2009
- [c39]Vikas K. Garg, M. Narasimha Murty:
RACK: RApid clustering using K-means algorithm. CASE 2009: 621-626 - [c38]Biswajit Paul, Gopalasamy Athithan, M. Narasimha Murty:
Speeding up AdaBoost Classifier with Random Projection. ICAPR 2009: 251-254 - 2008
- [c37]B. N. Ranganath, M. Narasimha Murty:
Stream-Close: Fast Mining of Closed Frequent Itemsets in High Speed Data Streams. ICDM Workshops 2008: 516-525 - 2007
- [c36]S. Asharaf, M. Narasimha Murty, Shirish K. Shevade:
Cluster Based Training for Scaling Non-linear Support Vector Machines. ICCTA 2007: 304-308 - [c35]Dipti Deodhare, M. Vidyasagar, M. Narasimha Murty:
A Unified Approach to Encoding and Classification Using Bimodal Projection-Based Features. ICCTA 2007: 348-354 - [c34]S. Asharaf, M. Narasimha Murty, Shirish K. Shevade:
Multiclass core vector machine. ICML 2007: 41-48 - [c33]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 - [c32]A. P. Yogananda, M. Narasimha Murty, Lakshmi Gopal:
A fast linear separability test by projection of positive points on subspaces. ICML 2007: 713-720 - [c31]Seshikanth Varma, S. Asharaf, M. Narasimha Murty:
Core Vector Clustering. IICAI 2007: 565-574 - [c30]Ramasuri Narayanam, V. Santosh Srinivas, M. Narasimha Murty:
A Cooperative Game Theoretic Approach to Prototype Selection. PKDD 2007: 556-564 - [c29]Laxmi Kankanala, M. Narasimha Murty:
Hybrid Approaches for Clustering. PReMI 2007: 25-32 - [c28]Seshikanth Varma, S. Asharaf, M. Narasimha Murty:
Rough Core Vector Clustering. PReMI 2007: 304-310 - 2006
- [c27]Asharaf S., M. Narasimha Murty, Shirish K. Shevade:
Cluster Based Core Vector Machine. ICDM 2006: 1038-1042 - [c26]S. Asharaf, M. Narasimha Murty:
Scalable non-linear Support Vector Machine using hierarchical clustering. ICPR (1) 2006: 908-911 - [c25]Dipti Deodhare, M. Vidyasagar, M. Narasimha Murty:
Bimodal Projection-based Features for Pattern Classification. IJCNN 2006: 4719-4726 - [c24]J. Saketha Nath, Chiranjib Bhattacharyya, M. Narasimha Murty:
Clustering based large margin classification: a scalable approach using SOCP formulation. KDD 2006: 674-679 - 2005
- [c23]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 - [c22]P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian:
Analysis of Leader based Clustering Algorithms for Pattern Classification. IICAI 2005: 2072-2091 - [c21]Ambedkar Dukkipati, Narasimha Murty Musti, Shalabh Bhatnagar:
Properties of Kullback-Leibler cross-entropy minimization in nonextensive framework. ISIT 2005: 2374-2378 - [c20]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 - [c19]T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal:
On Simultaneous Selection of Prototypes and Features in Large Data. PReMI 2005: 595-600 - [c18]P. Viswanath, M. Narasimha Murty, Satish Kambala:
An Efficient Parzen-Window Based Network Intrusion Detector Using a Pattern Synthesis Technique. PReMI 2005: 799-804 - 2004
- [c17]Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar:
Cauchy annealing schedule: an annealing schedule for Boltzmann selection scheme in evolutionary algorithms. IEEE Congress on Evolutionary Computation 2004: 55-62 - [c16]T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal:
Hybrid Learning Scheme for Data Mining Applications. HIS 2004: 266-271 - [c15]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 - [c14]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 - [c13]P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian:
An Efficient Technique for Protein Sequence Clustering and Classification. ICPR (2) 2004: 447-450 - 2003
- [c12]Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar:
Quotient evolutionary space: abstraction of evolutionary process w.r.t macroscopic properties. IEEE Congress on Evolutionary Computation 2003: 846-853 - [c11]S. V. N. Vishwanathan, Alexander J. Smola, M. Narasimha Murty:
SimpleSVM. ICML 2003: 760-767 - 2002
- [c10]Ambedkar Dukkipati, M. Narasimha Murty:
Selection by parts: 'selection in two episodes' in evolutionary algorithms. IEEE Congress on Evolutionary Computation 2002: 657-662 - [c9]S. V. N. Vishwanathan, M. Narasimha Murty:
Jigsawing : A Method to Create Virtual Examples in OCR data. HIS 2002: 690-696 - [c8]S. V. N. Vishwanathan, M. Narasimha Murty:
Geometric SVM: A Fast and Intuitive SVM Algorithm. ICPR (2) 2002: 56-59 - [c7]Jignashu Parikh, M. Narasimha Murty:
Adapting Question Answering Techniques to the Web. Language Engineering Conference 2002: 163 - 2001
- [c6]S. V. N. Vishwanathan, M. Narasimha Murty:
Use of Multi-category Proximal SVM for Data Set Reduction. HIS 2001: 19-24 - 2000
- [c5]Andreas Moser, M. Narasimha Murty:
On the Scalability of Genetic Algorithms to Very Large-Scale Feature Selection. EvoWorkshops 2000: 77-86 - [c4]V. S. Ananthanarayana, D. K. Subramanian, M. Narasimha Murty:
Scalable, Distributed and Dynamic Mining of Association Rules. HiPC 2000: 559-566 - 1990
- [c3]B. Shekar, M. Narasimha Murty, G. Krishna:
The Function-Acquisition Paradigm in a Knowledge-Based Concept-Synthesis Environment. ALT 1990: 97-108 - 1989
- [c2]V. Sridhar, M. Narasimha Murty, G. Krishna:
A logical model for decision-making. SMC 1989: 1142-1147 - 1987
- [c1]B. Shekar, M. Narasimha Murty, G. Krishna:
Pattern Clustering: An Artificial Intelligence Approach. IJCAI 1987: 214-216
Parts in Books or Collections
- 2009
- [p2]T. Ravindra Babu, M. Narasimha Murty, S. V. Subrahmanya:
Multiagent Systems for Large Data Clustering. Data Mining and Multi-agent Integration 2009: 219-238 - 2008
- [p1]M. Narasimha Murty, Rashmin Babaria, Chiranjib Bhattacharyya:
Clustering Based on Genetic Algorithms. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 137-159
Editorship
- 2014
- [e2]M. Narasimha Murty, Xiangjian He, Chillarige Raghavendra Rao, Paul Weng:
Multi-disciplinary Trends in Artificial Intelligence - 8th International Workshop, MIWAI 2014, Bangalore, India, December 8-10, 2014. Proceedings. Lecture Notes in Computer Science 8875, Springer 2014, ISBN 978-3-319-13364-5 [contents] - 2013
- [e1]Pradipta Maji, Ashish Ghosh, M. Narasimha Murty, Kuntal Ghosh, Sankar K. Pal:
Pattern Recognition and Machine Intelligence - 5th International Conference, PReMI 2013, Kolkata, India, December 10-14, 2013. Proceedings. Lecture Notes in Computer Science 8251, Springer 2013, ISBN 978-3-642-45061-7 [contents]
Reference Works
- 2009
- [r2]P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar:
Pattern Synthesis for Nonparametric Pattern Recognition. Encyclopedia of Data Warehousing and Mining 2009: 1511-1516 - [r1]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
Informal and Other Publications
- 2021
- [i20]Shyni Thomas, M. Narasimha Murty:
Decentralised Approach for Multi Agent Path Finding. CoRR abs/2106.05188 (2021) - [i19]Govind Sharma, Swyam Prakash Singh, V. Susheela Devi, M. Narasimha Murty:
The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs. CoRR abs/2111.00243 (2021) - [i18]Govind Sharma, Aditya Challa, Paarth Gupta, M. Narasimha Murty:
Higher-Order Relations Skew Link Prediction in Graphs. CoRR abs/2111.00271 (2021) - 2020
- [i17]Sambaran Bandyopadhyay, Kishalay Das, M. Narasimha Murty:
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs. CoRR abs/2002.03392 (2020) - [i16]Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty:
Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization. CoRR abs/2006.04696 (2020) - [i15]Sambaran Bandyopadhyay, Saley Vishal Vivek, M. Narasimha Murty:
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description. CoRR abs/2007.10231 (2020) - [i14]Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty:
Robust Hierarchical Graph Classification with Subgraph Attention. CoRR abs/2007.10908 (2020) - [i13]Shyni Thomas, Dipti Deodhare, M. Narasimha Murty:
Multi Agent Path Finding with Awareness for Spatially Extended Agents. CoRR abs/2009.09355 (2020) - 2019
- [i12]Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty:
Neural Cross-Domain Collaborative Filtering with Shared Entities. CoRR abs/1907.08440 (2019) - [i11]Sambaran Bandyopadhyay, Anirban Biswas, M. Narasimha Murty, Ramasuri Narayanam:
Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks. CoRR abs/1912.05140 (2019) - 2018
- [i10]Sambaran Bandyopadhyay, Harsh Kara, Aswin Kannan, M. Narasimha Murty:
FSCNMF: Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks. CoRR abs/1804.05313 (2018) - [i9]Sambaran Bandyopadhyay, Harsh Kara, Anirban Biswas, M. Narasimha Murty:
SaC2Vec: Information Network Representation with Structure and Content. CoRR abs/1804.10363 (2018) - [i8]Sambaran Bandyopadhyay, Lokesh Nagalapatti, M. Narasimha Murty:
Outlier Aware Network Embedding for Attributed Networks. CoRR abs/1811.07609 (2018) - 2017
- [i7]Sambaran Bandyopadhyay, M. Narasimha Murty, Ramasuri Narayanam:
A Generic Axiomatic Characterization of Centrality Measures in Social Network. CoRR abs/1703.07580 (2017) - 2016
- [i6]Anubhav Gupta, M. Narasimha Murty:
Finding Influential Institutions in Bibliographic Information Networks. CoRR abs/1612.08644 (2016) - 2012
- [i5]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) - 2006
- [i4]Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar:
On Measure Theoretic definitions of Generalized Information Measures and Maximum Entropy Prescriptions. CoRR abs/cs/0601080 (2006) - 2005
- [i3]Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar:
Uniqueness of Nonextensive entropy under Renyi's Recipe. CoRR abs/cs/0511078 (2005) - 2004
- [i2]Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar:
Generalized Evolutionary Algorithm based on Tsallis Statistics. CoRR cs.AI/0407037 (2004) - [i1]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)
Coauthor Index
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