5302 search results - page 171 / 1061 » Learning How to Separate |
122
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GLVLSI
2005
IEEE
15 years 9 months ago
2005
IEEE
We develop a neural network that learns to separate the nominal from the faulty instances of a circuit in a measurement space. We demonstrate that the required separation boundari...
149
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ICANN
2005
Springer
15 years 9 months ago
2005
Springer
Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...
135
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ICA
2007
Springer
15 years 7 months ago
2007
Springer
Non-negative spectrogram factorization has been proposed for single-channel source separation tasks. These methods operate on the magnitude or power spectrogram of the input mixtur...
128
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DAS
2010
Springer
15 years 5 months ago
2010
Springer
Separating machine printed text and handwriting from overlapping text is a challenging problem in the document analysis field and no reliable algorithms have been developed thus f...
150
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IJON
2008
15 years 3 months ago
2008
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can ...