Travelled to:1 × Finland
1 × Germany
2 × USA
Collaborated with:L.Ding X.Zhou N.Srebro T.Shi B.Yu V.Sindhwani P.Niyogi
Talks about:mixtur (2) learn (2) spectroscopi (1) probabilist (1) differenti (1) transduct (1) laplacian (1) eigenspac (1) supervis (1) recognit (1)
Person: Mikhail Belkin
DBLP: Belkin:Mikhail
Contributed to:
2011
2008
20082005Wrote 4 papers:
- KDD-2011-ZhouBS #approach #graph #ranking
- An iterated graph laplacian approach for ranking on manifolds (XZ, MB, NS), pp. 877–885.
- ICML-2008-ShiBY #learning #modelling #using
- Data spectroscopy: learning mixture models using eigenspaces of convolution operators (TS, MB, BY), pp. 936–943.
- ICPR-2008-DingB08a #difference #probability #recognition
- Probabilistic mixtures of differential profiles for shape recognition (LD, MB), pp. 1–4.
- ICML-2005-SindhwaniNB #learning
- Beyond the point cloud: from transductive to semi-supervised learning (VS, PN, MB), pp. 824–831.