M. Narasimha Murty

171 papers A* 11A 3B 16C 6Misc 1Journal 84Unranked 40
YearRankTypeTitle / Venue / Authors
2024 — conf
Learning Dynamic Representations in Large Language Models for Evolving Data Streams.
ICPR (5)
Ashish Srivastava, Shalabh Bhatnagar, M. Narasimha Murty, Jagannathan Ramanujam
2021 — conf
A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention.
PAKDD (1)
Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty
2021 J jnl
Decentralised Approach for Multi Agent Path Finding.
CoRR
Shyni Thomas, M. Narasimha Murty
2021 J jnl
Higher-Order Relations Skew Link Prediction in Graphs.
CoRR
Govind Sharma, Aditya Challa, Paarth Gupta, M. Narasimha Murty
2021 J jnl
The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs.
CoRR
Govind Sharma, Swyam Prakash Singh, V. Susheela Devi, M. Narasimha Murty
2020 A* conf
C3MM: Clique-Closure based Hyperlink Prediction.
IJCAI
Govind Sharma, Prasanna Patil, M. Narasimha Murty
2020 — conf
GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation.
PAKDD (1)
Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
2020 — conf
GRAM-SMOT: Top-N Personalized Bundle Recommendation via Graph Attention Mechanism and Submodular Optimization.
ECML/PKDD (3)
M. Vijaikumar, Shirish K. Shevade, M. Narasimha Murty
2020 — conf
Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion.
IEEE BigData
Sambaran Bandyopadhyay, Kishalay Das, M. Narasimha Murty
2020 A conf
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description.
ECAI
Sambaran Bandyopadhyay, Saley Vishal Vivek, M. Narasimha Murty
2020 J jnl
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description.
CoRR
Sambaran Bandyopadhyay, Saley Vishal Vivek, M. Narasimha Murty
2020 J jnl
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs.
CoRR
Sambaran Bandyopadhyay, Kishalay Das, M. Narasimha Murty
2020 J jnl
Multi Agent Path Finding with Awareness for Spatially Extended Agents.
CoRR
Shyni Thomas, Dipti Deodhare, M. Narasimha Murty
2020 — conf
Negative Sampling for Hyperlink Prediction in Networks.
PAKDD (2)
Prasanna Patil, Govind Sharma, M. Narasimha Murty
2020 — conf
Neural Cross-Domain Collaborative Filtering with Shared Entities.
ECML/PKDD (1)
Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
2020 A conf
Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding.
WSDM
Sambaran Bandyopadhyay, Lokesh N, Saley Vishal Vivek, M. Narasimha Murty
2020 J jnl
Robust Hierarchical Graph Classification with Subgraph Attention.
CoRR
Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty
2020 — conf
Self-supervised Hierarchical Graph Neural Network for Graph Representation.
IEEE BigData
Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty
2020 J jnl
Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization.
CoRR
Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty
2019 J jnl
Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks.
CoRR
Sambaran Bandyopadhyay, Anirban Biswas, M. Narasimha Murty, Ramasuri Narayanam
2019 J jnl
Neural Cross-Domain Collaborative Filtering with Shared Entities.
CoRR
Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
2019 A* conf
Outlier Aware Network Embedding for Attributed Networks.
AAAI
Sambaran Bandyopadhyay, Lokesh Nagalapatti, M. Narasimha Murty
2019 — book
Outlier Detection: Techniques and Applications - A Data Mining Perspective
N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan
2019 — conf
SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social Recommendation.
ECML/PKDD (1)
Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
2019 — conf
TagEmbedSVD: Leveraging Tag Embeddings for Cross-Domain Collaborative Filtering.
PReMI (2)
Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
2018 B conf
A Generic Axiomatic Characterization for Measuring Influence in Social Networks.
ICPR
Sambaran Bandyopadhyay, Ramasuri Narayanam, M. Narasimha Murty
2018 J jnl
FSCNMF: Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks.
CoRR
Sambaran Bandyopadhyay, Harsh Kara, Aswin Kannan, M. Narasimha Murty
2018 A conf
Fusing Diversity in Recommendations in Heterogeneous Information Networks.
WSDM
Sharad Nandanwar, Aayush Moroney, M. Narasimha Murty
2018 J jnl
Outlier Aware Network Embedding for Attributed Networks.
CoRR
Sambaran Bandyopadhyay, Lokesh Nagalapatti, M. Narasimha Murty
2018 A* conf
Overlap-Robust Decision Boundary Learning for Within-Network Classification.
AAAI
Sharad Nandanwar, M. Narasimha Murty
2018 J jnl
SaC2Vec: Information Network Representation with Structure and Content.
CoRR
Sambaran Bandyopadhyay, Harsh Kara, Anirban Biswas, M. Narasimha Murty
2017 J jnl
A Generic Axiomatic Characterization of Centrality Measures in Social Network.
CoRR
Sambaran Bandyopadhyay, M. Narasimha Murty, Ramasuri Narayanam
2016 B conf
Axioms to characterize efficient incremental clustering.
ICPR
Sambaran Bandyopadhyay, M. Narasimha Murty
2016 J jnl
Classification by majority voting in feature partitions.
Int. J. Inf. Decis. Sci.
Hari Seetha, M. Narasimha Murty, R. Saravanan
2016 J jnl
Detecting outliers in categorical data through rough clustering.
Nat. Comput.
N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan
2016 J jnl
Finding Influential Institutions in Bibliographic Information Networks.
CoRR
Anubhav Gupta, M. Narasimha Murty
2016 A* conf
Structural Neighborhood Based Classification of Nodes in a Network.
KDD
Sharad Nandanwar, M. Narasimha Murty
2015 — conf
Autoregressive Model for Users' Retweeting Profiles.
SocInfo
Soniya Rangnani, V. Susheela Devi, M. Narasimha Murty
2015 J jnl
Effective feature selection technique for text classification.
Int. J. Data Min. Model. Manag.
Hari Seetha, M. Narasimha Murty, R. Saravanan
2015 J jnl
Extended Conflict-Based Search for the Convoy Movement Problem.
IEEE Intell. Syst.
Shyni Thomas, Dipti Deodhare, M. Narasimha Murty
2015 — book
Introduction to Pattern Recognition and Machine Learning
M. Narasimha Murty, V. Susheela Devi
2014 J jnl
A ranking-based algorithm for detection of outliers in categorical data.
Int. J. Hybrid Intell. Syst.
N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan
2014 B conf
Average Overlap for Clustering Incomplete Data Using Symmetric Non-negative Matrix Factorization.
ICPR
Sneha Chaudhari, M. Narasimha Murty
2014 — conf
Characterizing Temporal Anomalies in Evolving Networks.
PAKDD (1)
N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan
2014 — ed.
Multi-disciplinary Trends in Artificial Intelligence - 8th International Workshop, MIWAI 2014, Bangalore, India, December 8-10, 2014. Proceedings
MIWAI
M. Narasimha Murty, Xiangjian He, Chillarige Raghavendra Rao, Paul Weng
2013 J jnl
Combining heterogeneous classifiers for relational databases.
Pattern Recognit.
Geetha Manjunath, M. Narasimha Murty, Dinkar Sitaram
2013 — book
Compression Schemes for Mining Large Datasets - A Machine Learning Perspective
T. Ravindra Babu, M. Narasimha Murty, S. V. Subrahmanya
2013 J jnl
Novel Biobjective Clustering (BiGC) Based on Cooperative Game Theory.
IEEE Trans. Knowl. Data Eng.
Vikas K. Garg, Y. Narahari, M. Narasimha Murty
2013 B conf
Optimizing F-measure with non-convex loss and sparse linear classifiers.
IJCNN
Punya Murthy Chinta, Balamurugan P., Shirish K. Shevade, M. Narasimha Murty
2013 — ed.
Pattern Recognition and Machine Intelligence - 5th International Conference, PReMI 2013, Kolkata, India, December 10-14, 2013. Proceedings
PReMI
Pradipta Maji, Ashish Ghosh, M. Narasimha Murty, Kuntal Ghosh, Sankar K. Pal
2013 J jnl
Tasklets: enabling end user programming of web widgets.
Int. J. Web Eng. Technol.
Geetha Manjunath, M. Narasimha Murty, Dinkar Sitaram
2013 — conf
Using Discriminative Phrases for Text Categorization.
ICONIP (2)
Sreya Dey, M. Narasimha Murty
2012 — conf
A Regularized Linear Classifier for Effective Text Classification.
ICONIP (2)
Sharad Nandanwar, M. Narasimha Murty
2012 C conf
An algorithm for mining outliers in categorical data through ranking.
HIS
N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan
2012 — conf
Discriminative Feature Analysis and Selection for Document Classification.
ICONIP (1)
Punya Murthy Chinta, M. Narasimha Murty
2012 B conf
Efficient classification using phrases generated by topic models.
ICPR
Deepak Gujraniya, M. Narasimha Murty
2012 — conf
Feature Selection for Unsupervised Learning.
ICONIP (3)
Jyoti Ranjan Adhikary, M. Narasimha Murty
2012 — conf
Hybrid Online Non-negative Matrix Factorization for Clustering of Documents.
ICONIP (1)
Vinod Jadhao, M. Narasimha Murty
2012 J jnl
Maximum Entropy with Maximum J-Divergence Discrimination for Text Classification
CoRR
D. M. V. Satya Sriram, Gaurav Pandey, Debarghya Ghoshdastidar, Ambedkar Dukkipati, M. Narasimha Murty
2012 — conf
Obtaining Single Document Summaries Using Latent Dirichlet Allocation.
ICONIP (4)
Karthik Nagesh, M. Narasimha Murty
2012 B conf
On the relation between K-means and PLSA.
ICPR
Arghya Roy Chaudhuri, M. Narasimha Murty
2012 C conf
Unsupervised feature selection for outlier detection in categorical data using mutual information.
HIS
N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan
2011 J jnl
A fast quasi-Newton method for semi-supervised SVM.
Pattern Recognit.
I. Sathish Reddy, Shirish K. Shevade, M. Narasimha Murty
2011 B conf
Mining Sentiments from Songs Using Latent Dirichlet Allocation.
IDA
Govind Sharma, M. Narasimha Murty
2011 — book
Pattern Recognition - An Algorithmic Approach.
M. Narasimha Murty, V. Susheela Devi
2010 B conf
A Practical Heterogeneous Classifier for Relational Databases.
ICPR
Geetha Manjunath, M. Narasimha Murty, Dinkar Sitaram
2010 — conf
EPIC: Efficient Integration of Partitional Clustering Algorithms for Classification.
SEAL
Vikas K. Garg, M. Narasimha Murty
2010 B conf
Maximum Entropy Model Based Classification with Feature Selection.
ICPR
Ambedkar Dukkipati, Abhay Kumar Yadav, M. Narasimha Murty
2010 — conf
Multiagent Based Large Data Clustering Scheme for Data Mining Applications.
AMT
T. Ravindra Babu, M. Narasimha Murty, S. V. Subrahmanya
2010 — conf
On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations.
PAKDD (1)
R. Arun, V. Suresh, C. E. Veni Madhavan, M. Narasimha Murty
2010 J jnl
Two-level k-means clustering algorithm for k-tau relationship establishment and linear-time classification.
Pattern Recognit.
Radha Chitta, M. Narasimha Murty
2009 J jnl
Feature subspace SVMs (FS-SVMs) for high dimensional handwritten digit recognition.
Int. J. Data Min. Model. Manag.
Vikas K. Garg, M. Narasimha Murty
2009 — ch.
Multiagent Systems for Large Data Clustering.
Data Mining and Multi-agent Integration
T. Ravindra Babu, M. Narasimha Murty, S. V. Subrahmanya
2009 — ch.
Pattern Synthesis for Nonparametric Pattern Recognition.
Encyclopedia of Data Warehousing and Mining
P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar
2009 — conf
RACK: RApid clustering using K-means algorithm.
CASE
Vikas K. Garg, M. Narasimha Murty
2009 — ch.
Scalable Non-Parametric Methods for Large Data Sets.
Encyclopedia of Data Warehousing and Mining
V. Suresh Babu, P. Viswanath, M. Narasimha Murty
2009 — conf
Speeding up AdaBoost Classifier with Random Projection.
ICAPR
Biswajit Paul, Gopalasamy Athithan, M. Narasimha Murty
2008 — ch.
Clustering Based on Genetic Algorithms.
Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
M. Narasimha Murty, Rashmin Babaria, Chiranjib Bhattacharyya
2008 — conf
Stream-Close: Fast Mining of Closed Frequent Itemsets in High Speed Data Streams.
ICDM Workshops
B. N. Ranganath, M. Narasimha Murty
2007 — conf
A Cooperative Game Theoretic Approach to Prototype Selection.
PKDD
Ramasuri Narayanam, V. Santosh Srinivas, M. Narasimha Murty
2007 — conf
A Unified Approach to Encoding and Classification Using Bimodal Projection-Based Features.
ICCTA
Dipti Deodhare, M. Vidyasagar, M. Narasimha Murty
2007 A* conf
A fast linear separability test by projection of positive points on subspaces.
ICML
A. P. Yogananda, M. Narasimha Murty, Lakshmi Gopal
2007 J jnl
Classification of run-length encoded binary data.
Pattern Recognit.
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal
2007 — conf
Cluster Based Training for Scaling Non-linear Support Vector Machines.
ICCTA
S. Asharaf, M. Narasimha Murty, Shirish K. Shevade
2007 — conf
Core Vector Clustering.
IICAI
Seshikanth Varma, S. Asharaf, M. Narasimha Murty
2007 A* conf
Focused crawling with scalable ordinal regression solvers.
ICML
Rashmin Babaria, J. Saketha Nath, S. Krishnan, K. R. Sivaramakrishnan, Chiranjib Bhattacharyya, M. Narasimha Murty
2007 J jnl
Gelfand-Yaglom-Perez theorem for generalized relative entropy functionals.
Inf. Sci.
Ambedkar Dukkipati, Shalabh Bhatnagar, M. Narasimha Murty
2007 — conf
Hybrid Approaches for Clustering.
PReMI
Laxmi Kankanala, M. Narasimha Murty
2007 A* conf
Multiclass core vector machine.
ICML
S. Asharaf, M. Narasimha Murty, Shirish K. Shevade
2007 — conf
Rough Core Vector Clustering.
PReMI
Seshikanth Varma, S. Asharaf, M. Narasimha Murty
2006 B conf
Bimodal Projection-based Features for Pattern Classification.
IJCNN
Dipti Deodhare, M. Vidyasagar, M. Narasimha Murty
2006 A* conf
Cluster Based Core Vector Machine.
ICDM
Asharaf S., M. Narasimha Murty, Shirish K. Shevade
2006 A* conf
Clustering based large margin classification: a scalable approach using SOCP formulation.
KDD
J. Saketha Nath, Chiranjib Bhattacharyya, M. Narasimha Murty
2006 J jnl
Efficient bottom-up hybrid hierarchical clustering techniques for protein sequence classification.
Pattern Recognit.
P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2006 J jnl
Efficient median based clustering and classification techniques for protein sequences.
Pattern Anal. Appl.
P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2006 J jnl
On Measure Theoretic definitions of Generalized Information Measures and Maximum Entropy Prescriptions
CoRR
Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2006 J jnl
Partition based pattern synthesis technique with efficient algorithms for nearest neighbor classification.
Pattern Recognit. Lett.
P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar
2006 J jnl
Rough set based incremental clustering of interval data.
Pattern Recognit. Lett.
S. Asharaf, M. Narasimha Murty, Shirish K. Shevade
2006 — conf
Scalable non-linear Support Vector Machine using hierarchical clustering.
ICPR (1)
S. Asharaf, M. Narasimha Murty
2005 — conf
An Efficient Hybrid Hierarchical Agglomerative Clustering (HHAC) Technique for Partitioning Large Data Sets.
PReMI
P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2005 — conf
An Efficient Parzen-Window Based Network Intrusion Detector Using a Pattern Synthesis Technique.
PReMI
P. Viswanath, M. Narasimha Murty, Satish Kambala
2005 — conf
Analysis of Leader based Clustering Algorithms for Pattern Classification.
IICAI
P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2005 J jnl
Efficient pattern synthesis for nearest neighbour classifier.
Pattern Recognit.
Monu Agrawal, Neha Gupta, R. Shreelekshmi, M. Narasimha Murty
2005 B conf
Information theoretic justification of Boltzmann selection and its generalization to Tsallis case.
Congress on Evolutionary Computation
Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2005 — conf
On Simultaneous Selection of Prototypes and Features in Large Data.
PReMI
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal
2005 J jnl
Overlap pattern synthesis with an efficient nearest neighbor classifier.
Pattern Recognit.
P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar
2005 J jnl
Rough support vector clustering.
Pattern Recognit.
S. Asharaf, Shirish K. Shevade, M. Narasimha Murty
2005 J jnl
Uniqueness of Nonextensive entropy under Renyi's Recipe
CoRR
Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2004 — conf
A Pattern Synthesis Technique with an Efficient Nearest Neighbor Classifier for Binary Pattern Recognition.
ICPR (4)
P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar
2004 J jnl
A rough fuzzy approach to web usage categorization.
Fuzzy Sets Syst.
S. Asharaf, M. Narasimha Murty
2004 C conf
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data.
HIS
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal
2004 J jnl
An Efficient Hierarchical Clustering Algorithm for Protein Sequences.
Int. J. Comput. Sci. Appl.
P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2004 — conf
An Efficient Technique for Protein Sequence Clustering and Classification.
ICPR (2)
P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2004 J jnl
Cauchy Annealing Schedule: An Annealing Schedule for Boltzmann Selection Scheme in Evolutionary Algorithms
CoRR
Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2004 B conf
Cauchy annealing schedule: an annealing schedule for Boltzmann selection scheme in evolutionary algorithms.
IEEE Congress on Evolutionary Computation
Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2004 J jnl
Fusion of multiple approximate nearest neighbor classifiers for fast and efficient classification.
Inf. Fusion
P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar
2004 J jnl
Generalized Evolutionary Algorithm based on Tsallis Statistics
CoRR
Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2004 C conf
Hybrid Learning Scheme for Data Mining Applications.
HIS
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal
2004 J jnl
Leaders - Subleaders: An efficient hierarchical clustering algorithm for large data sets.
Pattern Recognit. Lett.
P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2003 J jnl
An adaptive rough fuzzy single pass algorithm for clustering large data sets.
Pattern Recognit.
S. Asharaf, M. Narasimha Murty
2003 J jnl
Citation prediction using time series approach KDD Cup 2003 (task 1).
SIGKDD Explor.
J. N. Manjunatha, K. R. Sivaramakrishnan, Raghavendra Kumar Pandey, M. Narasimha Murty
2003 J jnl
Knowledge-based association rule mining using AND-OR taxonomies.
Knowl. Based Syst.
D. K. Subramanian, V. S. Ananthanarayana, M. Narasimha Murty
2003 B conf
Quotient evolutionary space: abstraction of evolutionary process w.r.t macroscopic properties.
IEEE Congress on Evolutionary Computation
Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2003 A* conf
SimpleSVM.
ICML
S. V. N. Vishwanathan, Alexander J. Smola, M. Narasimha Murty
2003 J jnl
Tree structure for efficient data mining using rough sets.
Pattern Recognit. Lett.
V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian
2002 — conf
Adapting Question Answering Techniques to the Web.
Language Engineering Conference
Jignashu Parikh, M. Narasimha Murty
2002 J jnl
An incremental prototype set building technique.
Pattern Recognit.
V. Susheela Devi, M. Narasimha Murty
2002 — conf
Geometric SVM: A Fast and Intuitive SVM Algorithm.
ICPR (2)
S. V. N. Vishwanathan, M. Narasimha Murty
2002 C conf
Jigsawing : A Method to Create Virtual Examples in OCR data.
HIS
S. V. N. Vishwanathan, M. Narasimha Murty
2002 B conf
Selection by parts: 'selection in two episodes' in evolutionary algorithms.
IEEE Congress on Evolutionary Computation
Ambedkar Dukkipati, M. Narasimha Murty
2001 J jnl
An incremental data mining algorithm for compact realization of prototypes.
Pattern Recognit.
V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian
2001 J jnl
Bootstrapping for efficient handwritten digit recognition.
Pattern Recognit.
V. Vijaya Saradhi, M. Narasimha Murty
2001 J jnl
Comparison of genetic algorithm based prototype selection schemes.
Pattern Recognit.
T. Ravindra Babu, M. Narasimha Murty
2001 J jnl
Efficient clustering of large data sets.
Pattern Recognit.
V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian
2001 J jnl
Multi-dimensional semantic clustering of large databases for association rule mining.
Pattern Recognit.
V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian
2001 J jnl
Rule prepending and post-pruning approach to incremental learning of decision lists.
Pattern Recognit.
K. R. K. Murthy, S. Sathiya Keerthi, M. Narasimha Murty
2001 C conf
Use of Multi-category Proximal SVM for Data Set Reduction.
HIS
S. V. N. Vishwanathan, M. Narasimha Murty
2000 J jnl
A stochastic connectionist approach for global optimization with application to pattern clustering.
IEEE Trans. Syst. Man Cybern. Part B
G. Phanendra Babu, M. Narasimha Murty, S. Sathiya Keerthi
2000 J jnl
Kohonen's SOM with cache.
Pattern Recognit.
S. V. N. Vishwanathan, M. Narasimha Murty
2000 — conf
On the Scalability of Genetic Algorithms to Very Large-Scale Feature Selection.
EvoWorkshops
Andreas Moser, M. Narasimha Murty
2000 Misc conf
Scalable, Distributed and Dynamic Mining of Association Rules.
HiPC
V. S. Ananthanarayana, D. K. Subramanian, M. Narasimha Murty
1999 J jnl
Data Clustering: A Review.
ACM Comput. Surv.
Anil K. Jain, M. Narasimha Murty, Patrick J. Flynn
1999 J jnl
Genetic K-means algorithm.
IEEE Trans. Syst. Man Cybern. Part B
Krishna Kummamuru, M. Narasimha Murty
1999 J jnl
Off-line signature verification using genetically optimized weighted features.
Pattern Recognit.
V. E. Ramesh, M. Narasimha Murty
1997 J jnl
Growing subspace pattern recognition methods and their neural-network models.
IEEE Trans. Neural Networks
M. Prakash, M. Narasimha Murty
1997 J jnl
Hebbian learning subspace method: A new approach.
Pattern Recognit.
M. Prakash, M. Narasimha Murty
1996 J jnl
Extended subspace methods of pattern recognition.
Pattern Recognit. Lett.
M. Prakash, M. Narasimha Murty
1995 J jnl
A genetic approach for selection of (near-) optimal subsets of principal components for discrimination.
Pattern Recognit. Lett.
M. Prakash, M. Narasimha Murty
1995 J jnl
Knowledge-based clustering scheme for collection management and retrieval of library books.
Pattern Recognit.
M. Narasimha Murty, Anil K. Jain
1995 J jnl
Optimal thresholding using multi-state stochastic connectionist approach.
Pattern Recognit. Lett.
G. Phanendra Babu, M. Narasimha Murty
1994 J jnl
A deductive clustering approach.
J. Exp. Theor. Artif. Intell.
V. Sridhar, M. Narasimha Murty
1994 J jnl
Clustering with evolution strategies.
Pattern Recognit.
G. Phanendra Babu, M. Narasimha Murty
1994 J jnl
Knowledge-based clustering approach for data abstraction.
Knowl. Based Syst.
V. Sridhar, M. Narasimha Murty
1993 J jnl
A near-optimal initial seed value selection in K-means means algorithm using a genetic algorithm.
Pattern Recognit. Lett.
G. Phanendra Babu, M. Narasimha Murty
1993 J jnl
Belief revision - an axiomatic approach.
J. Intell. Robotic Syst.
V. Sridhar, M. Narasimha Murty
1991 J jnl
A knowledge-based clustering algorithm.
Pattern Recognit. Lett.
V. Sridhar, M. Narasimha Murty
1991 J jnl
A new data structure HC-expression for learning from examples.
Pattern Recognit.
Suresh S. Chitoor, M. Narasimha Murty, Malini K. Bhandaru
1991 J jnl
Clustering algorithms for library comparison.
Pattern Recognit.
V. Sridhar, M. Narasimha Murty
1991 J jnl
Incremental learning from examples using HC-expressions.
Pattern Recognit.
Malini K. Bhandaru, M. Narasimha Murty
1991 J jnl
Model-theoretic approach to clustering.
Knowl. Based Syst.
V. Sridhar, M. Narasimha Murty
1990 J jnl
A comparison between conceptual clustering and conventional clustering.
Pattern Recognit.
Anurag Srivastava, M. Narasimha Murty
1990 J jnl
A divisive scheme for constructing minimal spanning trees in coordinate space.
Pattern Recognit. Lett.
Sabyasachy Choudhury, M. Narasimha Murty
1990 J jnl
A knowledge-based approach to pattern generation.
Pattern Recognit.
B. Shekar, M. Narasimha Murty, G. Krishna
1990 B conf
The Function-Acquisition Paradigm in a Knowledge-Based Concept-Synthesis Environment.
ALT
B. Shekar, M. Narasimha Murty, G. Krishna
1989 B conf
A logical model for decision-making.
SMC
V. Sridhar, M. Narasimha Murty, G. Krishna
1989 J jnl
Knowledge-based learning using Conceptual Transformers.
J. Intell. Robotic Syst.
B. Shekar, M. Narasimha Murty, G. Krishna
1989 J jnl
Structural aspects of semantic-directed clusters.
Pattern Recognit.
B. Shekar, M. Narasimha Murty, G. Krishna
1987 J jnl
A knowledge-based clustering scheme.
Pattern Recognit. Lett.
B. Shekar, M. Narasimha Murty, G. Krishna
1987 A* conf
Pattern Clustering: An Artificial Intelligence Approach.
IJCAI
B. Shekar, M. Narasimha Murty, G. Krishna
1981 J jnl
A hybrid clustering procedure for concentric and chain-like clusters.
Int. J. Parallel Program.
M. Narasimha Murty, G. Krishna
1980 J jnl
A computationally efficient technique for data-clustering.
Pattern Recognit.
M. Narasimha Murty, G. Krishna