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» Approximate predictive state representations
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AI
2000
Springer
13 years 7 months ago
Stochastic dynamic programming with factored representations
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Craig Boutilier, Richard Dearden, Moisés Go...
AAAI
2000
13 years 9 months ago
Back to the Future for Consistency-Based Trajectory Tracking
Given a model of a physical process and a sequence of commands and observations received over time, the task of an autonomous controller is to determine the likely states of the p...
James Kurien, P. Pandurang Nayak
ICC
2000
IEEE
13 years 12 months ago
Reduced-State BCJR-Type Algorithms
—In this paper, we propose a technique to reduce the number of trellis states in BCJR-type algorithms, i.e., algorithms with a structure similar to that of the well-known algorit...
Giulio Colavolpe, Gian Luigi Ferrari, Riccardo Rah...
ICASSP
2011
IEEE
12 years 11 months ago
Enhanced Poisson sum representation for alpha-stable processes
In this paper we present Poisson sum series representations for α-stable (αS) random variables and α-stable processes, in particular concentrating on continuous-time autoregres...
Tatjana Lemke, Simon J. Godsill
FGR
2008
IEEE
203views Biometrics» more  FGR 2008»
14 years 2 months ago
Spatiotemporal pyramid representation for recognition of facial expressions and hand gestures
This paper presents a spatiotemporal pyramid representation for recognizing facial expressions and hand gestures. This approach works by partitioning video sequence into increasin...
Zhipeng Zhao, Ahmed M. Elgammal