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» A Symbolic Out-of-Core Solution Method for Markov Models
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CP
2010
Springer
13 years 6 months ago
Computing the Density of States of Boolean Formulas
Abstract. In this paper we consider the problem of computing the density of states of a Boolean formula in CNF, a generalization of both MAX-SAT and model counting. Given a Boolean...
Stefano Ermon, Carla P. Gomes, Bart Selman
INTERSPEECH
2010
13 years 2 months ago
Efficient HMM-based estimation of missing features, with applications to packet loss concealment
In this paper, we present efficient HMM-based techniques for estimating missing features. By assuming speech features to be observations of hidden Markov processes, we derive a mi...
Bengt J. Borgström, Per Henrik Borgström...
AAAI
2010
13 years 9 months ago
Representation Discovery in Sequential Decision Making
Automatically constructing novel representations of tasks from analysis of state spaces is a longstanding fundamental challenge in AI. I review recent progress on this problem for...
Sridhar Mahadevan
TWC
2010
13 years 2 months ago
A fixed-lag particle smoother for blind SISO equalization of time-varying channels
We introduce a new sequential importance sampling (SIS) algorithm which propagates in time a Monte Carlo approximation of the posterior fixed-lag smoothing distribution of the symb...
Alberto Gaspar Guimarães, Boujemaa Ait-El-F...
ICCV
2009
IEEE
13 years 5 months ago
Efficient human pose estimation via parsing a tree structure based human model
Human pose estimation is the task of determining the states (location, orientation and scale) of each body part. It is important for many vision understanding applications, e.g. v...
Xiaoqin Zhang, Changcheng Li, Xiaofeng Tong, Weimi...