| 2008 |
|---|
| 85 | EE | B. N. Ranganath,
M. Narasimha Murty:
Stream-Close: Fast Mining of Closed Frequent Itemsets in High Speed Data Streams.
ICDM Workshops 2008: 516-525 |
| 84 | EE | M. Narasimha Murty,
Rashmin Babaria,
Chiranjib Bhattacharyya:
Clustering Based on Genetic Algorithms.
Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 137-159 |
| 2007 |
|---|
| 83 | EE | S. Asharaf,
M. Narasimha Murty,
Shirish Krishnaj Shevade:
Cluster Based Training for Scaling Non-linear Support Vector Machines.
ICCTA 2007: 304-308 |
| 82 | EE | Dipti Deodhare,
M. Vidyasagar,
M. Narasimha Murty:
A Unified Approach to Encoding and Classification Using Bimodal Projection-Based Features.
ICCTA 2007: 348-354 |
| 81 | EE | S. Asharaf,
M. Narasimha Murty,
Shirish Krishnaj Shevade:
Multiclass core vector machine.
ICML 2007: 41-48 |
| 80 | EE | Rashmin Babaria,
J. Saketha Nath,
S. Krishnan,
K. R. Sivaramakrishnan,
Chiranjib Bhattacharyya,
M. Narasimha Murty:
Focused crawling with scalable ordinal regression solvers.
ICML 2007: 57-64 |
| 79 | EE | A. P. Yogananda,
M. Narasimha Murty,
Lakshmi Gopal:
A fast linear separability test by projection of positive points on subspaces.
ICML 2007: 713-720 |
| 78 | | Seshikanth Varma,
S. Asharaf,
M. Narasimha Murty:
Core Vector Clustering.
IICAI 2007: 565-574 |
| 77 | EE | Ramasuri Narayanam,
V. Santosh Srinivas,
M. Narasimha Murty:
A Cooperative Game Theoretic Approach to Prototype Selection.
PKDD 2007: 556-564 |
| 76 | EE | Laxmi Kankanala,
M. Narasimha Murty:
Hybrid Approaches for Clustering.
PReMI 2007: 25-32 |
| 75 | EE | Seshikanth Varma,
S. Asharaf,
M. Narasimha Murty:
Rough Core Vector Clustering.
PReMI 2007: 304-310 |
| 74 | EE | Ambedkar Dukkipati,
Shalabh Bhatnagar,
M. Narasimha Murty:
Gelfand-Yaglom-Perez theorem for generalized relative entropy functionals.
Inf. Sci. 177(24): 5707-5714 (2007) |
| 73 | EE | T. Ravindra Babu,
M. Narasimha Murty,
Vijay K. Agrawal:
Classification of run-length encoded binary data.
Pattern Recognition 40(1): 321-323 (2007) |
| 2006 |
|---|
| 72 | EE | Asharaf S,
M. Narasimha Murty,
Shirish Krishnaj Shevade:
Cluster Based Core Vector Machine.
ICDM 2006: 1038-1042 |
| 71 | EE | S. Asharaf,
M. Narasimha Murty:
Scalable non-linear Support Vector Machine using hierarchical clustering.
ICPR (1) 2006: 908-911 |
| 70 | EE | Dipti Deodhare,
M. Vidyasagar,
M. Narasimha Murty:
Bimodal Projection-based Features for Pattern Classification.
IJCNN 2006: 4719-4726 |
| 69 | EE | J. Saketha Nath,
Chiranjib Bhattacharyya,
M. Narasimha Murty:
Clustering based large margin classification: a scalable approach using SOCP formulation.
KDD 2006: 674-679 |
| 68 | EE | Ambedkar Dukkipati,
M. Narasimha Murty,
Shalabh Bhatnagar:
On Measure Theoretic definitions of Generalized Information Measures and Maximum Entropy Prescriptions
CoRR abs/cs/0601080: (2006) |
| 67 | EE | P. A. Vijaya,
M. Narasimha Murty,
D. K. Subramanian:
Efficient median based clustering and classification techniques for protein sequences.
Pattern Anal. Appl. 9(2-3): 243-255 (2006) |
| 66 | EE | P. A. Vijaya,
M. Narasimha Murty,
D. K. Subramanian:
Efficient bottom-up hybrid hierarchical clustering techniques for protein sequence classification.
Pattern Recognition 39(12): 2344-2355 (2006) |
| 65 | EE | P. Viswanath,
M. Narasimha Murty,
Shalabh Bhatnagar:
Partition based pattern synthesis technique with efficient algorithms for nearest neighbor classification.
Pattern Recognition Letters 27(14): 1714-1724 (2006) |
| 64 | EE | S. Asharaf,
M. Narasimha Murty,
Shirish Krishnaj Shevade:
Rough set based incremental clustering of interval data.
Pattern Recognition Letters 27(6): 515-519 (2006) |
| 2005 |
|---|
| 63 | | P. A. Vijaya,
M. Narasimha Murty,
D. K. Subramanian:
Analysis of Leader based Clustering Algorithms for Pattern Classification.
IICAI 2005: 2072-2091 |
| 62 | EE | P. A. Vijaya,
M. Narasimha Murty,
D. K. Subramanian:
An Efficient Hybrid Hierarchical Agglomerative Clustering (HHAC) Technique for Partitioning Large Data Sets.
PReMI 2005: 583-588 |
| 61 | EE | T. Ravindra Babu,
M. Narasimha Murty,
Vijay K. Agrawal:
On Simultaneous Selection of Prototypes and Features in Large Data.
PReMI 2005: 595-600 |
| 60 | EE | P. Viswanath,
M. Narasimha Murty,
Satish Kambala:
An Efficient Parzen-Window Based Network Intrusion Detector Using a Pattern Synthesis Technique.
PReMI 2005: 799-804 |
| 59 | EE | Ambedkar Dukkipati,
M. Narasimha Murty,
Shalabh Bhatnagar:
Uniqueness of Nonextensive entropy under Renyi's Recipe
CoRR abs/cs/0511078: (2005) |
| 58 | EE | S. Asharaf,
Shirish Krishnaj Shevade,
M. Narasimha Murty:
Rough support vector clustering.
Pattern Recognition 38(10): 1779-1783 (2005) |
| 57 | EE | Monu Agrawal,
Neha Gupta,
R. Shreelekshmi,
M. Narasimha Murty:
Efficient pattern synthesis for nearest neighbour classifier.
Pattern Recognition 38(11): 2200-2203 (2005) |
| 56 | EE | P. Viswanath,
M. Narasimha Murty,
Shalabh Bhatnagar:
Overlap pattern synthesis with an efficient nearest neighbor classifier.
Pattern Recognition 38(8): 1187-1195 (2005) |
| 2004 |
|---|
| 55 | EE | T. Ravindra Babu,
M. Narasimha Murty,
Vijay K. Agrawal:
Hybrid Learning Scheme for Data Mining Applications.
HIS 2004: 266-271 |
| 54 | EE | T. Ravindra Babu,
M. Narasimha Murty,
Vijay K. Agrawal:
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data.
HIS 2004: 326-331 |
| 53 | EE | P. A. Vijaya,
M. Narasimha Murty,
D. K. Subramanian:
An Efficient Technique for Protein Sequence Clustering and Classification.
ICPR (2) 2004: 447-450 |
| 52 | EE | P. Viswanath,
M. Narasimha Murty,
Shalabh Bhatnagar:
A Pattern Synthesis Technique with an Efficient Nearest Neighbor Classifier for Binary Pattern Recognition.
ICPR (4) 2004: 416-419 |
| 51 | EE | Ambedkar Dukkipati,
M. Narasimha Murty,
Shalabh Bhatnagar:
Generalized Evolutionary Algorithm based on Tsallis Statistics
CoRR cs.AI/0407037: (2004) |
| 50 | EE | Ambedkar Dukkipati,
M. Narasimha Murty,
Shalabh Bhatnagar:
Cauchy Annealing Schedule: An Annealing Schedule for Boltzmann Selection Scheme in Evolutionary Algorithms
CoRR cs.AI/0408055: (2004) |
| 49 | EE | S. Asharaf,
M. Narasimha Murty:
A rough fuzzy approach to web usage categorization.
Fuzzy Sets and Systems 148(1): 119-129 (2004) |
| 48 | EE | P. A. Vijaya,
M. Narasimha Murty,
D. K. Subramanian:
An Efficient Hierarchical Clustering Algorithm for Protein Sequences.
IJCSA 1(2): 61-75 (2004) |
| 47 | EE | P. Viswanath,
M. Narasimha Murty,
Shalabh Bhatnagar:
Fusion of multiple approximate nearest neighbor classifiers for fast and efficient classification.
Information Fusion 5(4): 239-250 (2004) |
| 46 | EE | P. A. Vijaya,
M. Narasimha Murty,
D. K. Subramanian:
Leaders - Subleaders: An efficient hierarchical clustering algorithm for large data sets.
Pattern Recognition Letters 25(4): 505-513 (2004) |
| 2003 |
|---|
| 45 | | S. V. N. Vishwanathan,
Alex J. Smola,
M. Narasimha Murty:
SimpleSVM.
ICML 2003: 760-767 |
| 44 | EE | D. K. Subramanian,
V. S. Ananthanarayana,
M. Narasimha Murty:
Knowledge-based association rule mining using AND-OR taxonomies.
Knowl.-Based Syst. 16(1): 37-45 (2003) |
| 43 | EE | S. Asharaf,
M. Narasimha Murty:
An adaptive rough fuzzy single pass algorithm for clustering large data sets.
Pattern Recognition 36(12): 3015-3018 (2003) |
| 42 | EE | V. S. Ananthanarayana,
M. Narasimha Murty,
D. K. Subramanian:
Tree structure for efficient data mining using rough sets.
Pattern Recognition Letters 24(6): 851-862 (2003) |
| 41 | EE | J. N. Manjunatha,
K. R. Sivaramakrishnan,
Raghavendra Kumar Pandey,
M. Narasimha Murty:
Citation prediction using time series approach KDD Cup 2003 (task 1).
SIGKDD Explorations 5(2): 152-153 (2003) |
| 2002 |
|---|
| 40 | | S. V. N. Vishwanathan,
M. Narasimha Murty:
Jigsawing : A Method to Create Virtual Examples in OCR data.
HIS 2002: 690-696 |
| 39 | EE | S. V. N. Vishwanathan,
M. Narasimha Murty:
Geometric SVM: A Fast and Intuitive SVM Algorithm.
ICPR (2) 2002: 56-59 |
| 38 | EE | Jignashu Parikh,
M. Narasimha Murty:
Adapting Question Answering Techniques to the Web.
Language Engineering Conference 2002: 163 |
| 37 | EE | V. Susheela Devi,
M. Narasimha Murty:
An incremental prototype set building technique.
Pattern Recognition 35(2): 505-513 (2002) |
| 2001 |
|---|
| 36 | | S. V. N. Vishwanathan,
M. Narasimha Murty:
Use of Multi-category Proximal SVM for Data Set Reduction.
HIS 2001: 19-24 |
| 35 | EE | V. S. Ananthanarayana,
M. Narasimha Murty,
D. K. Subramanian:
An incremental data mining algorithm for compact realization of prototypes.
Pattern Recognition 34(11): 2249-2251 (2001) |
| 34 | EE | V. S. Ananthanarayana,
M. Narasimha Murty,
D. K. Subramanian:
Efficient clustering of large data sets.
Pattern Recognition 34(12): 2561-2563 (2001) |
| 33 | EE | T. Ravindra Babu,
M. Narasimha Murty:
Comparison of genetic algorithm based prototype selection schemes.
Pattern Recognition 34(2): 523-525 (2001) |
| 32 | EE | V. S. Ananthanarayana,
M. Narasimha Murty,
D. K. Subramanian:
Multi-dimensional semantic clustering of large databases for association rule mining.
Pattern Recognition 34(4): 939-941 (2001) |
| 31 | EE | V. Vijaya Saradhi,
M. Narasimha Murty:
Bootstrapping for efficient handwritten digit recognition.
Pattern Recognition 34(5): 1047-1056 (2001) |
| 30 | EE | K. R. K. Murthy,
S. Sathiya Keerthi,
M. Narasimha Murty:
Rule prepending and post-pruning approach to incremental learning of decision lists.
Pattern Recognition 34(8): 1697-1699 (2001) |
| 2000 |
|---|
| 29 | | Andreas Moser,
M. Narasimha Murty:
On the Scalability of Genetic Algorithms to Very Large-Scale Feature Selection.
EvoWorkshops 2000: 77-86 |
| 28 | EE | V. S. Ananthanarayana,
D. K. Subramanian,
M. Narasimha Murty:
Scalable, Distributed and Dynamic Mining of Association Rules.
HiPC 2000: 559-566 |
| 27 | | G. Phanendra Babu,
M. Narasimha Murty,
S. Sathiya Keerthi:
A stochastic connectionist approach for global optimization with application to pattern clustering.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 30(1): 10-24 (2000) |
| 26 | EE | S. V. N. Vishwanathan,
M. Narasimha Murty:
Kohonen's SOM with cache.
Pattern Recognition 33(11): 1927-1929 (2000) |
| 1999 |
|---|
| 25 | EE | Anil K. Jain,
M. Narasimha Murty,
Patrick J. Flynn:
Data Clustering: A Review.
ACM Comput. Surv. 31(3): 264-323 (1999) |
| 24 | | K. Krishna,
M. Narasimha Murty:
Genetic K-means algorithm.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 29(3): 433-439 (1999) |
| 23 | EE | V. E. Ramesh,
M. Narasimha Murty:
Off-line signature verification using genetically optimized weighted features.
Pattern Recognition 32(2): 217-233 (1999) |
| 1997 |
|---|
| 22 | EE | M. Prakash,
M. Narasimha Murty:
Hebbian learning subspace method: A new approach.
Pattern Recognition 30(1): 141-149 (1997) |
| 1996 |
|---|
| 21 | EE | M. Prakash,
M. Narasimha Murty:
Extended subspace methods of pattern recognition.
Pattern Recognition Letters 17(11): 1131-1139 (1996) |
| 1995 |
|---|
| 20 | EE | M. Narasimha Murty,
Anil K. Jain:
Knowledge-based clustering scheme for collection management and retrieval of library books.
Pattern Recognition 28(7): 949-963 (1995) |
| 19 | EE | G. Phanendra Babu,
M. Narasimha Murty:
Optimal thresholding using multi-state stochastic connectionist approach.
Pattern Recognition Letters 16(1): 11-18 (1995) |
| 18 | EE | M. Prakash,
M. Narasimha Murty:
A genetic approach for selection of (near-) optimal subsets of principal components for discrimination.
Pattern Recognition Letters 16(8): 781-787 (1995) |
| 1994 |
|---|
| 17 | EE | V. Sridhar,
M. Narasimha Murty:
Knowledge-based clustering approach for data abstraction.
Knowl.-Based Syst. 7(2): 103-113 (1994) |
| 16 | EE | G. Phanendra Babu,
M. Narasimha Murty:
Clustering with evolution strategies.
Pattern Recognition 27(2): 321-329 (1994) |
| 1993 |
|---|
| 15 | EE | V. Sridhar,
M. Narasimha Murty:
Belief revision - an axiomatic approach.
Journal of Intelligent and Robotic Systems 8(2): 127-153 (1993) |
| 14 | EE | G. Phanendra Babu,
M. Narasimha Murty:
A near-optimal initial seed value selection in K-means means algorithm using a genetic algorithm.
Pattern Recognition Letters 14(10): 763-769 (1993) |
| 1991 |
|---|
| 13 | EE | V. Sridhar,
M. Narasimha Murty:
Model-theoretic approach to clustering.
Knowl.-Based Syst. 4(2): 87-94 (1991) |
| 12 | EE | Suresh S. Chitoor,
M. Narasimha Murty,
Malini K. Bhandaru:
A new data structure HC-expression for learning from examples.
Pattern Recognition 24(1): 19-29 (1991) |
| 11 | EE | Malini K. Bhandaru,
M. Narasimha Murty:
Incremental learning from examples using HC-expressions.
Pattern Recognition 24(4): 273-282 (1991) |
| 10 | EE | V. Sridhar,
M. Narasimha Murty:
Clustering algorithms for library comparison.
Pattern Recognition 24(9): 815-823 (1991) |
| 9 | | V. Sridhar,
M. Narasimha Murty:
A knowledge-based clustering algorithm.
Pattern Recognition Letters 12(8): 511-517 (1991) |
| 1990 |
|---|
| 8 | | B. Shekar,
M. Narasimha Murty,
G. Krishna:
The Function-Acquisition Paradigm in a Knowledge-Based Concept-Synthesis Environment.
ALT 1990: 97-108 |
| 7 | EE | B. Shekar,
M. Narasimha Murty,
G. Krishna:
A knowledge-based approach to pattern generation.
Pattern Recognition 23(11): 1299-1306 (1990) |
| 6 | EE | Anurag Srivastava,
M. Narasimha Murty:
A comparison between conceptual clustering and conventional clustering.
Pattern Recognition 23(9): 975-981 (1990) |
| 5 | EE | Sabyasachy Choudhury,
M. Narasimha Murty:
A divisive scheme for constructing minimal spanning trees in coordinate space.
Pattern Recognition Letters 11(6): 385-389 (1990) |
| 1989 |
|---|
| 4 | EE | B. Shekar,
M. Narasimha Murty,
G. Krishna:
Knowledge-based learning using Conceptual Transformers.
Journal of Intelligent and Robotic Systems 2(4): 361-379 (1989) |
| 3 | EE | B. Shekar,
M. Narasimha Murty,
G. Krishna:
Structural aspects of semantic-directed clusters.
Pattern Recognition 22(1): 65-74 (1989) |
| 1987 |
|---|
| 2 | | B. Shekar,
M. Narasimha Murty,
G. Krishna:
Pattern Clustering: An Artificial Intelligence Approach.
IJCAI 1987: 214-216 |
| 1980 |
|---|
| 1 | EE | M. Narasimha Murty,
G. Krishna:
A computationally efficient technique for data-clustering.
Pattern Recognition 12(3): 153-158 (1980) |
