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» Approximating Markov Processes by Averaging
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179
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ICIP
2009
IEEE
15 years 3 months ago
Markovian clustering for the non-local means image denoising
The non-local means filter is one of powerful denoising methods which allows participation of far, but proper pixels in the denoising process. Although the weights of non-similar ...
Rachid Hedjam, Reza Farrahi Moghaddam, Mohamed Che...
AAAI
2000
15 years 7 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
284
Voted
ICDE
2009
IEEE
219views Database» more  ICDE 2009»
16 years 7 months ago
Distance Oracles for Spatial Networks
The popularity of location-based services and the need to do real-time processing on them has led to an interest in performing queries on transportation networks, such as finding s...
Jagan Sankaranarayanan, Hanan Samet
AAAI
2012
13 years 8 months ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
CORR
2010
Springer
122views Education» more  CORR 2010»
15 years 1 months ago
Concavity of Mutual Information Rate for Input-Restricted Finite-State Memoryless Channels at High SNR
We consider a finite-state memoryless channel with i.i.d. channel state and the input Markov process supported on a mixing finite-type constraint. We discuss the asymptotic behavio...
Guangyue Han, Brian H. Marcus