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NIPS
1998
15 years 5 months ago
Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models
We present Monte-Carlo generalized EM equations for learning in nonlinear state space models. The dif
Thomas Briegel, Volker Tresp
122
Voted
CAD
2002
Springer
15 years 4 months ago
Approximation by fat arcs and fat biarcs
A general discussion of the including approximation of a curve by a fat arc is given followed by an algorithm for constructing an including fat arc for a parametric Be
Qun Lin, Jon G. Rokne
149
Voted
GLOBECOM
2010
IEEE
15 years 2 months ago
Approximation Ratios of Multicast Light-Trees in WDM Networks
Abstract--All-optical multicast routing (AOMR) is implemented by the concept of light-tree in WDM networks. The costoptimal multicast light-tree is NP-hard to compute, especially w...
Fen Zhou, Miklós Molnár, Bernard Cou...
CVPR
2009
IEEE
16 years 11 months ago
Alphabet SOUP: A Framework for Approximate Energy Minimization
Many problems in computer vision can be modeled using conditional Markov random fields (CRF). Since finding the maximum a posteriori (MAP) solution in such models is NP-hard, mu...
Stephen Gould (Stanford University), Fernando Amat...
PODS
2004
ACM
143views Database» more  PODS 2004»
16 years 4 months ago
Approximate Counts and Quantiles over Sliding Windows
We consider the problem of maintaining approximate counts and quantiles over fixed- and variablesize sliding windows in limited space. For quantiles, we present deterministic algo...
Arvind Arasu, Gurmeet Singh Manku