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131
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JMLR
2010
165views more  JMLR 2010»
14 years 10 months ago
Learning with Blocks: Composite Likelihood and Contrastive Divergence
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
131
Voted
ECCV
2002
Springer
16 years 5 months ago
Maximizing Rigidity: Optimal Matching under Scaled-Orthography
Establishing point correspondences between images is a key step for 3D-shape computation. Nevertheless, shape extraction and point correspondence are treated, usually, as two diffe...
João Costeira, João Maciel
138
Voted
DIS
2009
Springer
15 years 7 months ago
Discovering Influential Nodes for SIS Models in Social Networks
We address the problem of efficiently discovering the influential nodes in a social network under the susceptible/infected/susceptible (SIS) model, a diffusion model where nodes ar...
Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
119
Voted
DAC
2003
ACM
16 years 4 months ago
An algebraic multigrid solver for analytical placement with layout based clustering
An efficient matrix solver is critical to the analytical placement. As the size of the matrix becomes huge, the multilevel methods turn out to be more efficient and more scalable....
Hongyu Chen, Chung-Kuan Cheng, Nan-Chi Chou, Andre...
126
Voted
ICML
1998
IEEE
16 years 4 months ago
Intra-Option Learning about Temporally Abstract Actions
tion Learning about Temporally Abstract Actions Richard S. Sutton Department of Computer Science University of Massachusetts Amherst, MA 01003-4610 rich@cs.umass.edu Doina Precup D...
Richard S. Sutton, Doina Precup, Satinder P. Singh