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ISCAS
2002
IEEE
153views Hardware» more  ISCAS 2002»
14 years 1 months ago
Biological learning modeled in an adaptive floating-gate system
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...
Christal Gordon, Paul E. Hasler
ICML
2009
IEEE
14 years 8 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
ISMIR
2004
Springer
90views Music» more  ISMIR 2004»
14 years 1 months ago
Automatic extraction of music descriptors from acoustic signals
High-Level music descriptors are key ingredients for music information retrieval systems. Although there is a long tradition in extracting information from acoustic signals, the f...
François Pachet, Aymeric Zils
ICPR
2010
IEEE
14 years 1 months ago
The Detection of Concept Frames Using Clustering Multi-Instance Learning
Abstract—The classification of sequences requires the combination of information from different time points. In this paper the detection of facial expressions is considered. Exp...
David Tax, Michel Valstar
SEDE
2007
13 years 9 months ago
BeLearning: Designing accessible web applications
Flexibility and adaptivity are two of the outstanding characteristics of new media and new technologies. These properties allow new methods to provide physically challenged people...
Helmut Vieritz, Sabina Jeschke