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» Minimization of entropy functionals
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JMLR
2010
187views more  JMLR 2010»
15 years 1 months ago
SFO: A Toolbox for Submodular Function Optimization
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
Andreas Krause
CVPR
2000
IEEE
16 years 8 months ago
Learning from One Example through Shared Densities on Transforms
We define a process called congealing in which elements of a dataset (images) are brought into correspondence with each other jointly, producing a data-defined model. It is based ...
Erik G. Miller, Nicholas E. Matsakis, Paul A. Viol...
ICRA
2000
IEEE
88views Robotics» more  ICRA 2000»
15 years 10 months ago
Uncertainty Reduction Using Dynamics
For assembly tasks parts often have to be oriented before they can be put in an assembly. The results presented in this paper are a component of the automated design of parts orie...
Mark Moll, Michael Erdmann
PAMI
2006
143views more  PAMI 2006»
15 years 6 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin
IJRR
2002
81views more  IJRR 2002»
15 years 6 months ago
Manipulation of Pose Distributions
For assembly tasks parts often have to be oriented before they can be put in an assembly. The results presented in this paper are a component of the automated design of parts orie...
Mark Moll, Michael Erdmann