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ICPR
2006
IEEE
14 years 5 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
DATE
2008
IEEE
116views Hardware» more  DATE 2008»
13 years 11 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
DAC
2005
ACM
14 years 5 months ago
Advanced Timing Analysis Based on Post-OPC Extraction of Critical Dimensions
While performance specifications are verified before sign-off for a modern nanometer scale design, extensive application of optical proximity correction substantially alters the l...
Puneet Gupta, Andrew B. Kahng, Youngmin Kim, Denni...
AIPS
2007
13 years 7 months ago
Learning to Plan Using Harmonic Analysis of Diffusion Models
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns,...
ALMOB
2006
155views more  ALMOB 2006»
13 years 4 months ago
Refining motifs by improving information content scores using neighborhood profile search
The main goal of the motif finding problem is to detect novel, over-represented unknown signals in a set of sequences (e.g. transcription factor binding sites in a genome). The mo...
Chandan K. Reddy, Yao-Chung Weng, Hsiao-Dong Chian...