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ICPR
2006
IEEE
15 years 11 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
SIGCSE
2010
ACM
232views Education» more  SIGCSE 2010»
15 years 5 months ago
Design and evaluation of a computer science and engineering course for middle school girls
A significant focus in the United States recently has been to increase engagement and interest in STEM curricula, particularly among girls and underrepresented minorities [3]. In ...
Gabriela Marcu, Samuel J. Kaufman, Jaihee Kate Lee...
SAT
2009
Springer
132views Hardware» more  SAT 2009»
15 years 4 months ago
Relaxed DPLL Search for MaxSAT
We propose a new incomplete algorithm for the Maximum Satisfiability (MaxSAT) problem on unweighted Boolean formulas, focused specifically on instances for which proving unsatis...
Lukas Kroc, Ashish Sabharwal, Bart Selman
ACSAC
2008
IEEE
15 years 4 months ago
Structuring for Strategic Cyber Defense: A Cyber Manhattan Project Blueprint
In February 2002, more than 50 leaders in the information assurance field warned the President of the United States of a national strategic vulnerability in the country’s inform...
O. Sami Saydjari
IROS
2008
IEEE
161views Robotics» more  IROS 2008»
15 years 4 months ago
Segmenting acoustic signal with articulatory movement using Recurrent Neural Network for phoneme acquisition
— This paper proposes a computational model for phoneme acquisition by infants. Human infants perceive speech sounds not as discrete phoneme sequences but as continuous acoustic ...
Hisashi Kanda, Tetsuya Ogata, Kazunori Komatani, H...