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ALT
2011
Springer
12 years 7 months ago
On the Expressive Power of Deep Architectures
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
Yoshua Bengio, Olivier Delalleau
SEMCO
2007
IEEE
14 years 1 months ago
Learning by Reading by Learning to Read
Knowledge-based natural language processing systems learn by reading, i.e., they process texts to extract knowledge. The performance of these systems crucially depends on knowledg...
Sergei Nirenburg, Tim Oates, Jesse English
PPOPP
2010
ACM
14 years 2 months ago
An adaptive performance modeling tool for GPU architectures
This paper presents an analytical model to predict the performance of general-purpose applications on a GPU architecture. The model is designed to provide performance information ...
Sara S. Baghsorkhi, Matthieu Delahaye, Sanjay J. P...
DATE
2005
IEEE
168views Hardware» more  DATE 2005»
14 years 1 months ago
Hardware Acceleration of Hidden Markov Model Decoding for Person Detection
This paper explores methods for hardware acceleration of Hidden Markov Model (HMM) decoding for the detection of persons in still images. Our architecture exploits the inherent st...
Suhaib A. Fahmy, Peter Y. K. Cheung, Wayne Luk
CASCON
1997
93views Education» more  CASCON 1997»
13 years 9 months ago
Repairing software style using graph grammars
Often, software architects impose a particular style on the software systems they design. For large software systems, they would like to ensure that the design continues to confor...
Hoda Fahmy, Richard C. Holt, Spiros Mancoridis