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128
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AAAI
2011
14 years 13 days ago
Sparse Matrix-Variate t Process Blockmodels
We consider the problem of modeling network interactions and identifying latent groups of network nodes. This problem is challenging due to the facts i) that the network nodes are...
Zenglin Xu, Feng Yan, Yuan Qi
83
Voted
DAC
2010
ACM
15 years 3 months ago
On the costs and benefits of stochasticity in stream processing
With the end of clock-frequency scaling, parallelism has emerged as the key driver of chip-performance growth. Yet, several factors undermine efficient simultaneous use of onchip ...
Raj R. Nadakuditi, Igor L. Markov
AAAI
1996
15 years 1 months ago
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Craig Boutilier, David Poole
83
Voted
ICASSP
2009
IEEE
15 years 4 months ago
Multidimensional signal reconstruction from multichannel acquisition
We provide an analysis of the algorithms necessary for the optimal use of multidimensional signal reconstruction from multichannel acquisition. Firstly, we provide computable cond...
Ka Lung Law, Robert M. Fossum, Minh N. Do
52
Voted
ICASSP
2010
IEEE
15 years 19 days ago
Rate-distortion optimized transform for intra-frame coding
In this paper, a novel algorithm is proposed for intra-frame coding, named as rate-distortion optimized transform (RDOT). Unlike existing intra-frame coding schemes where the tran...
Xin Zhao, Li Zhang, Siwei Ma, Wen Gao