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AAAI
2012
13 years 9 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
ICIP
2006
IEEE
16 years 8 months ago
Interpolation Free Sub-Pixel Motion Estimation for H.264
Sub-pixel motion compensation plays an important role in compression efficiency within modern video codecs such as MPEG2, MPEG4 and H.264. Sub-pixel motion compensa tion is implem...
Paul R. Hill, Tuan-Kiang Chiew, David R. Bull
DAC
2006
ACM
16 years 7 months ago
Power-centric design of high-speed I/Os
With increasing aggregate off-chip bandwidths exceeding terabits/second (Tb/s), the power dissipation is a serious design consideration. Additionally, design of I/O links is const...
Hamid Hatamkhani, Frank Lambrecht, Vladimir Stojan...
MICCAI
2004
Springer
16 years 7 months ago
A Data Clustering and Streamline Reduction Method for 3D MR Flow Vector Field Simplification
Abstract. With the increasing capability of MR imaging and Computational Fluid Dynamics (CFD) techniques, a significant amount of data related to the haemodynamics of the cardiovas...
Bernardo Silva Carmo, Yin-Heung Pauline Ng, Adam P...
ICML
2007
IEEE
16 years 7 months ago
A recursive method for discriminative mixture learning
We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
Minyoung Kim, Vladimir Pavlovic