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ICIP
2007
IEEE
15 years 10 months ago
A General Two-Dimensional Hidden Markov Model and its Application in Image Classification
In this paper, we propose a general two-dimensional hidden Markov model (2D-HMM), where dependency of the state transition probability on any state is allowed as long as causality...
Xiang Ma, Dan Schonfeld, Ashfaq A. Khokhar
TSMC
2002
144views more  TSMC 2002»
15 years 3 months ago
COR: a methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules
This paper introduces a new learning methodology to quickly generate accurate and simple linguistic fuzzy models, the cooperative rules (COR) methodology. It acts on the consequent...
Jorge Casillas, Oscar Cordón, Francisco Her...
122
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ECML
2005
Springer
15 years 9 months ago
Active Learning in Partially Observable Markov Decision Processes
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
Robin Jaulmes, Joelle Pineau, Doina Precup
AIPS
2000
15 years 5 months ago
Using Iterative Repair to Improve the Responsiveness of Planning and Scheduling
The majority of planning and scheduling research has focused on batch-oriented models of planning. This paper discusses the use of iterative repair techniques to support a continu...
Steve A. Chien, Russell Knight, Andre Stechert, Ro...
ICASSP
2010
IEEE
15 years 4 months ago
Multiple Selection Approximation for improved spatio-temporal prediction in video coding
In this contribution, a novel spatio-temporal prediction algorithm for video coding is introduced. This algorithm exploits temporal as well as spatial redundancies for effectively...
Jürgen Seiler, André Kaup