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JMLR
2010
165views more  JMLR 2010»
15 years 23 days 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...
MMAS
2010
Springer
15 years 23 days ago
Simplified Modelling of a Thermal Bath, with Application to a Fluid Vortex System
Based on the thermodynamic concept of a reservoir, we investigate a computational model for interaction with unresolved degrees of freedom (a thermal bath). We assume that a finite...
Svetlana Dubinkina, Jason Frank, Ben Leimkuhler
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
13 years 8 months ago
Web image prediction using multivariate point processes
In this paper, we investigate a problem of predicting what images are likely to appear on the Web at a future time point, given a query word and a database of historical image str...
Gunhee Kim, Fei-Fei Li, Eric P. Xing
GIS
2003
ACM
16 years 7 months ago
Processing in-route nearest neighbor queries: a comparison of alternative approaches
Nearest neighbor query is one of the most important operations in spatial databases and their application domains, e.g., locationbased services, advanced traveler information syst...
Shashi Shekhar, Jin Soung Yoo
ISBI
2006
IEEE
16 years 6 months ago
Landmark matching on the sphere using distance functions
Nonlinear registration of 3D surfaces is important in many medical imaging applications, including the mapping of longitudinal changes in anatomy, or of multi-subject functional M...
Natasha Lepore, Alex D. Leow, Paul M. Thompson