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» Model Minimization in Markov Decision Processes
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PAMI
2010
260views more  PAMI 2010»
13 years 7 months ago
Unsupervised Object Segmentation with a Hybrid Graph Model (HGM)
—In this work, we address the problem of performing class-specific unsupervised object segmentation, i.e., automatic segmentation without annotated training images. Object segmen...
Guangcan Liu, Zhouchen Lin, Yong Yu, Xiaoou Tang
CVPR
2005
IEEE
14 years 2 months ago
Audio-Visual Affect Recognition through Multi-Stream Fused HMM for HCI
Advances in computer processing power and emerging algorithms are allowing new ways of envisioning Human Computer Interaction. This paper focuses on the development of a computing...
Zhihong Zeng, Jilin Tu, Brian Pianfetti, Ming Liu,...
DAC
2008
ACM
14 years 9 months ago
Stochastic modeling of a thermally-managed multi-core system
Achieving high performance under a peak temperature limit is a first-order concern for VLSI designers. This paper presents a new model of a thermally-managed system, where a stoch...
Hwisung Jung, Peng Rong, Massoud Pedram
VTC
2007
IEEE
14 years 2 months ago
Q-Learning-based Hybrid ARQ for High Speed Downlink Packet Access in UMTS
Abstract-In this paper, a Q-learning-based hybrid automatic repeat request (Q-HARQ) scheme is proposed to achieve efficient resource utilization for high speed downlink packet acc...
Chung-Ju Chang, Chia-Yuan Chang, Fang-Ching Ren
GLOBECOM
2006
IEEE
14 years 2 months ago
Adaptive Learning of Transmission Control Policies for MIMO Fading Channels under Delay Constraint
— This paper addresses learning based adaptive resource allocation for wireless MIMO channels with Markovian fading. The problem is posed as Constrained Markov Decision Process w...
Dejan V. Djonin, Vikram Krishnamurthy