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» Extracting Propositions from Trained Neural Networks
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TSD
1999
Springer
15 years 2 months ago
Classifying Visemes for Automatic Lipreading
Automatic lipreading is automatic speech recognition that uses only visual information. The relevant data in a video signal is isolated and features are extracted from it. From a s...
Michiel Visser, Mannes Poel, Anton Nijholt
JMLR
2002
133views more  JMLR 2002»
14 years 9 months ago
Learning Precise Timing with LSTM Recurrent Networks
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
Felix A. Gers, Nicol N. Schraudolph, Jürgen S...
ICMCS
2008
IEEE
207views Multimedia» more  ICMCS 2008»
15 years 4 months ago
Structure learning in a Bayesian network-based video indexing framework
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
Siwar Baghdadi, Guillaume Gravier, Claire-Hé...
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
15 years 10 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
NN
2002
Springer
125views Neural Networks» more  NN 2002»
14 years 9 months ago
Generalized relevance learning vector quantization
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of ...
Barbara Hammer, Thomas Villmann