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ICPR
2006
IEEE
16 years 6 months ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum
IPPS
2009
IEEE
15 years 11 months ago
Power-aware dynamic task scheduling for heterogeneous accelerated clusters
Recent accelerators such as GPUs achieve better cost-performance and watt-performance ratio, while the range of their application is more limited than general CPUs. Thus heterogen...
Tomoaki Hamano, Toshio Endo, Satoshi Matsuoka
133
Voted
ICALP
2007
Springer
15 years 11 months ago
Estimating Sum by Weighted Sampling
We study the classic problem of estimating the sum of n variables. The traditional uniform sampling approach requires a linear number of samples to provide any non-trivial guarante...
Rajeev Motwani, Rina Panigrahy, Ying Xu 0002
ICASSP
2009
IEEE
15 years 11 months ago
Exploiting statically schedulable regions in dataflow programs
Dataflow descriptions have been used in a wide range of Digital Signal Processing (DSP) applications, such as multi-media processing, and wireless communications. Among various f...
Ruirui Gu, Jörn W. Janneck, Mickaël Raul...
133
Voted
COCOON
2009
Springer
15 years 11 months ago
A Polynomial-Time Perfect Sampler for the Q-Ising with a Vertex-Independent Noise
We present a polynomial-time perfect sampler for the Q-Ising with a vertex-independent noise. The Q-Ising, one of the generalized models of the Ising, arose in the context of Baye...
Masaki Yamamoto, Shuji Kijima, Yasuko Matsui