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ACL
2009
13 years 8 months ago
Variational Inference for Grammar Induction with Prior Knowledge
Variational EM has become a popular technique in probabilistic NLP with hidden variables. Commonly, for computational tractability, we make strong independence assumptions, such a...
Shay B. Cohen, Noah A. Smith
DATE
2009
IEEE
133views Hardware» more  DATE 2009»
14 years 5 months ago
Energy efficient multiprocessor task scheduling under input-dependent variation
— In this paper, we propose a novel, energy aware scheduling algorithm for applications running on DVS-enabled multiprocessor systems, which exploits variation in execution times...
Jason Cong, Karthik Gururaj
DATE
2008
IEEE
116views Hardware» more  DATE 2008»
14 years 4 months ago
A Variation Aware High Level Synthesis Framework
— The worst-case delay/power of function units has been used in traditional high level synthesis to facilitate design space exploration. As technology scales to nanometer regime,...
Feng Wang 0004, Guangyu Sun, Yuan Xie
ECCV
2010
Springer
13 years 11 months ago
Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision
The saddle point framework provides a convenient way to formulate many convex variational problems that occur in computer vision. The framework unifies a broad range of data and re...
Jan Lellmann, Dirk Breitenreicher, Christoph Schn&...
DAC
2010
ACM
13 years 10 months ago
Post-silicon diagnosis of segments of failing speedpaths due to manufacturing variations
We study diagnosis of segments on speedpaths that fail the timing constraint at the post-silicon stage due to manufacturing variations. We propose a formal procedure that is appli...
Lin Xie, Azadeh Davoodi, Kewal K. Saluja