Travelled to:1 × Canada
1 × China
1 × India
1 × Japan
1 × Sweden
1 × Turkey
2 × United Kingdom
3 × USA
Collaborated with:S.Asharaf S.V.N.Vishwanathan S.Chaudhari A.R.Chaudhuri D.Gujraniya V.K.Garg J.S.Nath C.Bhattacharyya A.Dukkipati A.K.Yadav G.Manjunath D.Sitaram S.K.Shevade A.P.Yogananda L.Gopal P.A.Vijaya D.K.Subramanian P.Viswanath S.Bhatnagar A.J.Smola R.Babaria S.Krishnan K.R.Sivaramakrishnan
Talks about:cluster (5) use (5) classif (4) scalabl (3) effici (3) svm (3) algorithm (2) techniqu (2) classifi (2) pattern (2)
Person: M. Narasimha Murty
DBLP: Murty:M=_Narasimha
Contributed to:
201420122010
2009
20072006
20062004200420032002Wrote 15 papers:
- ICPR-2014-ChaudhariM #clustering #matrix #semistructured data #symmetry #using
- Average Overlap for Clustering Incomplete Data Using Symmetric Non-negative Matrix Factorization (SC, MNM), pp. 1431–1436.
- ICPR-2012-ChaudhuriM #on the
- On the relation between K-means and PLSA (ARC, MNM), pp. 2298–2301.
- ICPR-2012-GujraniyaM #classification #modelling #performance #topic #using
- Efficient classification using phrases generated by topic models (DG, MNM), pp. 2331–2334.
- ICPR-2010-DukkipatiYM #classification #feature model #modelling
- Maximum Entropy Model Based Classification with Feature Selection (AD, AKY, MNM), pp. 565–568.
- ICPR-2010-ManjunathMS #classification #database #relational
- A Practical Heterogeneous Classifier for Relational Databases (GM, MNM, DS), pp. 3316–3319.
- CASE-2009-GargM #agile #algorithm #clustering #named #using
- RACK: RApid clustering using K-means algorithm (VKG, MNM), pp. 621–626.
- ICML-2007-AsharafMS #multi
- Multiclass core vector machine (SA, MNM, SKS), pp. 41–48.
- ICML-2007-BabariaNKSBM #crawling #scalability
- Focused crawling with scalable ordinal regression solvers (RB, JSN, SK, KRS, CB, MNM), pp. 57–64.
- ICML-2007-YoganandaMG #linear #performance
- A fast linear separability test by projection of positive points on subspaces (APY, MNM, LG), pp. 713–720.
- ICPR-v1-2006-AsharafM #clustering #scalability #using
- Scalable non-linear Support Vector Machine using hierarchical clustering (SA, MNM), pp. 908–911.
- KDD-2006-NathBM #approach #classification #clustering #scalability #using
- Clustering based large margin classification: a scalable approach using SOCP formulation (JSN, CB, MNM), pp. 674–679.
- ICPR-v2-2004-VijayaMS #classification #clustering #performance #sequence
- An Efficient Technique for Protein Sequence Clustering and Classification (PAV, MNM, DKS), pp. 447–450.
- ICPR-v4-2004-ViswanathMB #classification #nearest neighbour #pattern matching #pattern recognition #performance #recognition #synthesis
- A Pattern Synthesis Technique with an Efficient Nearest Neighbor Classifier for Binary Pattern Recognition (PV, MNM, SB), pp. 416–419.
- ICML-2003-VishwanathanSM
- SimpleSVM (SVNV, AJS, MNM), pp. 760–767.
- ICPR-v2-2002-VishwanathanM #algorithm #geometry #performance
- Geometric SVM: A Fast and Intuitive SVM Algorithm (SVNV, MNM), pp. 56–59.