default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDM. Narasimha Murty
Musti Narasimha Murty – Narasimha Murty Musti
Person information
- affiliation: ERNET, India
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 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 - [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
- [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 - [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)
2010 – 2019
- 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 - [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 - [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
- [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 - [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
- [c65]Rakesh Agrawal, Sharad Nandanwar, Narasimha Murty Musti:
Grouping Students for Maximizing Learning from Peers. EDM 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
- [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) - [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 - [i6]Anubhav Gupta, M. Narasimha Murty:
Finding Influential Institutions in Bibliographic Information Networks. CoRR abs/1612.08644 (2016) - 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 - [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) - [c62]Soniya Rangnani, V. Susheela Devi, M. Narasimha Murty:
Autoregressive Model for Users' Retweeting Profiles. SocInfo 2015: 178-193 - 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) - [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 - [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
- [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 - [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) - [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 - [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] - 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 - [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) - 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 - [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) - [c45]Govind Sharma, M. Narasimha Murty:
Mining Sentiments from Songs Using Latent Dirichlet Allocation. IDA 2011: 328-339 - 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) - [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
2000 – 2009
- 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) - [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 - [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 - [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 - 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 - [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 - 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) - [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
- [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) - [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 - [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
- [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) - [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 - [i3]Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar:
Uniqueness of Nonextensive entropy under Renyi's Recipe. CoRR abs/cs/0511078 (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) - [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 - [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) - 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) - [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
- [j36]V. Susheela Devi, M. Narasimha Murty:
An incremental prototype set building technique. Pattern Recognit. 35(2): 505-513 (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
- [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) - [c6]S. V. N. Vishwanathan, M. Narasimha Murty:
Use of Multi-category Proximal SVM for Data Set Reduction. HIS 2001: 19-24 - 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) - [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 – 1999
- 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) - [c3]B. Shekar, M. Narasimha Murty, G. Krishna:
The Function-Acquisition Paradigm in a Knowledge-Based Concept-Synthesis Environment. ALT 1990: 97-108
1980 – 1989
- 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) - [c2]V. Sridhar, M. Narasimha Murty, G. Krishna:
A logical model for decision-making. SMC 1989: 1142-1147 - 1987
- [j3]B. Shekar, M. Narasimha Murty, G. Krishna:
A knowledge-based clustering scheme. Pattern Recognit. Lett. 5(4): 253-259 (1987) - [c1]B. Shekar, M. Narasimha Murty, G. Krishna:
Pattern Clustering: An Artificial Intelligence Approach. IJCAI 1987: 214-216 - 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)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-28 22:36 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
