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» Generating Predicate Rules from Neural Networks
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ICANN
2003
Springer
14 years 26 days ago
Sparse Coding with Invariance Constraints
We suggest a new approach to optimize the learning of sparse features under the constraints of explicit transformation symmetries imposed on the set of feature vectors. Given a set...
Heiko Wersing, Julian Eggert, Edgar Körner
AADEBUG
1997
Springer
13 years 11 months ago
Modeling Intelligent System Execution as State Transition Diagrams to Support Debugging
Currently, few tools are available for assisting developers with debugging intelligent systems. Because these systems rely heavily on context dependent knowledge and sometimes sto...
Adele E. Howe, Gabriel Somlo
SPEECH
2002
113views more  SPEECH 2002»
13 years 7 months ago
Estimation of the signal-to-noise ratio with amplitude modulation spectrograms
An algorithm is proposed which automatically estimates the local signalto-noise ratio (SNR) between speech and noise. The feature extraction stage of the algorithm is motivated by...
Jürgen Tchorz, Birger Kollmeier
ICASSP
2011
IEEE
12 years 11 months ago
Localization of non-linguistic events in spontaneous speech by Non-Negative Matrix Factorization and Long Short-Term Memory
Features generated by Non-Negative Matrix Factorization (NMF) have successfully been introduced into robust speech processing, including noise-robust speech recognition and detect...
Felix Weninger, Björn Schuller, Martin Wö...
NOMS
2006
IEEE
129views Communications» more  NOMS 2006»
14 years 1 months ago
A Policy-Based Hierarchical Approach for Management of Grids and Networks
Grids are distributed infrastructures that have been used as an important and powerful resource for distributed computing. Since the nodes of a grid can potentially be located in ...
Tiago Fioreze, Ricardo Neisse, Lisandro Zambenedet...