3051 search results - page 290 / 611 » Learning Internal Representations |
156
Voted
IJON
2008
15 years 4 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 ...
128
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ALGORITHMICA
2005
15 years 4 months ago
2005
We consider history independent data structures as proposed for study by Naor and Teague [3]. In a history independent data structure, nothing can be learned from the memory repre...
169
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ISBI
2011
IEEE
14 years 8 months ago
2011
IEEE
We address the problem of segmenting high angular resolution diffusion images of the brain into cerebral regions corresponding to distinct white matter fiber bundles. We cast thi...
172
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CVPR
2012
IEEE
13 years 7 months ago
2012
IEEE
The ability to normalize pose based on super-category landmarks can significantly improve models of individual categories when training data are limited. Previous methods have co...
156
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RECOMB
2003
Springer
16 years 5 months ago
2003
Springer
The availability of whole genome sequences and high-throughput genomic assays opens the door for in silico analysis of transcription regulation. This includes methods for discover...