Inderjit S. Dhillon - Citas de Google Académico

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Suvrit SraMITDirección de correo verificada de mit.edu
Cho-Jui HsiehUniversity of California, Los AngelesDirección de correo verificada de cs.ucla.edu
Prateek JainMicrosoft Research IndiaDirección de correo verificada de microsoft.com
Pradeep RavikumarAssociate Professor, School of Computer Science, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Brian KulisAssociate Professor, Boston UniversityDirección de correo verificada de bu.edu
Jack DongarraUniversity of Tennessee; Oak Ridge National Laboratory; University of ManchesterDirección de correo verificada de icl.utk.edu
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. of Texas at AustinDirección de correo verificada de utexas.edu
R. Clint WhaleyLSUDirección de correo verificada de lsu.edu
Hsiang-Fu YuComputer Science, University of Texas at AustinDirección de correo verificada de cs.utexas.edu
Nagarajan NatarajanSenior Applied Scientist, Microsoft Research IndiaDirección de correo verificada de microsoft.com
Yuqiang GuanWaymoDirección de correo verificada de google.com
Arindam BanerjeeProfessor, Computer Science & Engineering, University of Minnesota, Twin CitiesDirección de correo verificada de cs.umn.edu
Dharmendra ModhaIBM FellowDirección de correo verificada de us.ibm.com
Joel A. TroppSteele Family Professor of Applied & Computational Mathematics, CaltechDirección de correo verificada de caltech.edu
Ambuj Tewari (अम्बुज तिवारी)Associate Professor, Department of Statistics and Department of EECS, University of MichiganDirección de correo verificada de umich.edu
Sven HammarlingHon Principal Consultant, NAG Ltd and Sen Hon Res Fellow in Mathematics, University of ManchesterDirección de correo verificada de nag.co.uk
Si SiGoogle ResearchDirección de correo verificada de google.com
David WalkerProfessor of High Performance Computing, Cardiff UniversityDirección de correo verificada de cs.cf.ac.uk
Matyas A SustikUniversity of Texas at AustinDirección de correo verificada de cs.utexas.edu
Robert HeathCockrell Regents Chair in Engineering #7, University of Texas at AustinDirección de correo verificada de ece.utexas.edu

Inderjit S. Dhillon

Amazon Fellow and Gottesman Family Centennial Professor, CS Dept, UT Austin

Dirección de correo verificada de cs.utexas.edu - Página principal

Machine Learning Deep Learning Big Data Analytics Numerical Linear Algebra Computational Mathematics


Título	Citado por	Año
Information-theoretic metric learning JV Davis, B Kulis, P Jain, S Sra, IS Dhillon Proceedings of the 24th international conference on Machine learning, 209-216, 2007	2000	2007
ScaLAPACK users' guide LS Blackford, J Choi, A Cleary, E D'Azevedo, J Demmel, I Dhillon, ... Society for Industrial and Applied Mathematics, 1997	1957	1997
Co-clustering documents and words using bipartite spectral graph partitioning IS Dhillon Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001	1824	2001
Concept decompositions for large sparse text data using clustering IS Dhillon, DS Modha Machine learning 42 (1-2), 143-175, 2001	1561	2001
Clustering with Bregman divergences A Banerjee, S Merugu, IS Dhillon, J Ghosh Journal of machine learning research 6 (Oct), 1705-1749, 2005	1529	2005
Clustering with Bregman Divergences ID Banerjee, Arindam: Srujana Merugu, J Ghosh Proceedings of the fourth SIAM international conference on data mining, 234, 2004	1529*	2004
Information-theoretic co-clustering IS Dhillon, S Mallela, DS Modha Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	1435	2003
Kernel k-means: spectral clustering and normalized cuts IS Dhillon, Y Guan, B Kulis Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	1114	2004
Weighted graph cuts without eigenvectors a multilevel approach IS Dhillon, Y Guan, B Kulis IEEE transactions on pattern analysis and machine intelligence 29 (11), 1944 …, 2007	815	2007
Clustering on the unit hypersphere using von Mises-Fisher distributions A Banerjee, IS Dhillon, J Ghosh, S Sra Journal of Machine Learning Research 6 (Sep), 1345-1382, 2005	740	2005
Handbook of linear algebra L Hogben Chapman and Hall/CRC, 2013	668	2013
A divisive information-theoretic feature clustering algorithm for text classification IS Dhillon, S Mallela, R Kumar Journal of machine learning research 3 (Mar), 1265-1287, 2003	610	2003
Semi-supervised graph clustering: a kernel approach B Kulis, S Basu, I Dhillon, R Mooney Machine learning 74 (1), 1-22, 2009	547	2009
A data-clustering algorithm on distributed memory multiprocessors IS Dhillon, DS Modha Large-scale parallel data mining, 245-260, 2002	531	2002
A generalized maximum entropy approach to Bregman co-clustering and matrix approximation A Banerjee, I Dhillon, J Ghosh, S Merugu, DS Modha Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	466	2004
Guaranteed rank minimization via singular value projection P Jain, R Meka, IS Dhillon Advances in Neural Information Processing Systems, 937-945, 2010	446	2010
Learning with noisy labels N Natarajan, IS Dhillon, PK Ravikumar, A Tewari Advances in neural information processing systems, 1196-1204, 2013	429	2013
Generalized nonnegative matrix approximations with Bregman divergences S Sra, IS Dhillon Advances in neural information processing systems, 283-290, 2006	427	2006
Designing structured tight frames via an alternating projection method JA Tropp, IS Dhillon, RW Heath, T Strohmer IEEE Transactions on information theory 51 (1), 188-209, 2005	395	2005
Optimization for machine learning S Sra, S Nowozin, SJ Wright Mit Press, 2012	391	2012

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