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» Temporal Restricted Boltzmann Machines for Dependency Parsin...
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NIPS
2007
13 years 6 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
ICPR
2010
IEEE
13 years 8 months ago
Deep Belief Networks for Real-Time Extraction of Tongue Contours from Ultrasound During Speech
Ultrasound has become a useful tool for speech scientists studying mechanisms of language sound production. State-of-the-art methods for extracting tongue contours from ultrasound...
Ian Fasel, Jeff Berry
DSN
2002
IEEE
13 years 10 months ago
Generic Timing Fault Tolerance using a Timely Computing Base
Designing applications with timeliness requirements in environments of uncertain synchrony is known to be a difficult problem. In this paper, we follow the perspective of timing ...
Antonio Casimiro, Paulo Veríssimo