BibSLEIGH corpus
BibSLEIGH tags
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BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × Germany
1 × Israel
1 × United Kingdom
6 × USA
Collaborated with:
I.S.Dhillon M.I.Jordan Y.Guan P.L.Bartlett T.Broderick M.A.Sustik S.Basu R.J.Mooney J.E.Hopcroft O.Khan B.Selman J.V.Davis P.Jain S.Sra
Talks about:
kernel (4) cluster (3) learn (3) algorithm (2) graph (2) mean (2) base (2) bay (2) nonparametr (1) multilevel (1)

Person: Brian Kulis

DBLP DBLP: Kulis:Brian

Contributed to:

ICML c3 20132013
ICML 20122012
ICML 20102010
ICML 20072007
ICML 20062006
ICML 20052005
KDD 20052005
KDD 20042004
KDD 20032003

Wrote 9 papers:

ICML-c3-2013-BroderickKJ #named
MAD-Bayes: MAP-based Asymptotic Derivations from Bayes (TB, BK, MIJ), pp. 226–234.
ICML-2012-KulisJ #algorithm
Revisiting k-means: New Algorithms via Bayesian Nonparametrics (BK, MIJ), p. 148.
ICML-2010-KulisB #learning #online
Implicit Online Learning (BK, PLB), pp. 575–582.
ICML-2007-DavisKJSD #learning #metric
Information-theoretic metric learning (JVD, BK, PJ, SS, ISD), pp. 209–216.
ICML-2006-KulisSD #kernel #learning #matrix #rank
Learning low-rank kernel matrices (BK, MAS, ISD), pp. 505–512.
ICML-2005-KulisBDM #approach #clustering #graph #kernel
Semi-supervised graph clustering: a kernel approach (BK, SB, ISD, RJM), pp. 457–464.
KDD-2005-DhillonGK #algorithm #clustering #graph #kernel #multi #performance
A fast kernel-based multilevel algorithm for graph clustering (ISD, YG, BK), pp. 629–634.
KDD-2004-DhillonGK #clustering #kernel #normalisation
Kernel k-means: spectral clustering and normalized cuts (ISD, YG, BK), pp. 551–556.
KDD-2003-HopcroftKKS #community #network #scalability
Natural communities in large linked networks (JEH, OK, BK, BS), pp. 541–546.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.