3607 search results - page 386 / 722 » Learning with structured sparsity |
168
Voted
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Discovering additive structure is an important step towards understanding a complex multi-dimensional function because it allows the function to be expressed as the sum of lower-d...
178
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CVPR
2010
IEEE
16 years 3 months ago
2010
IEEE
Graph matching is a classical problem in pattern recognition with many applications, particularly when the graphs are embedded in Euclidean spaces, as is often the case for comput...
176
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MLG
2007
Springer
16 years 26 days ago
2007
Springer
: Network topology not only tells about tightly-connected “communities,” but also gives cues on more subtle properties of the vertices. We introduce a simple probabilistic late...
209
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WIRN
2005
Springer
16 years 5 days ago
2005
Springer
Recursive neural networks are a powerful tool for processing structured data. According to the recursive learning paradigm, the input information consists of directed positional ac...
174
Voted
ECML
2001
Springer
15 years 11 months ago
2001
Springer
Conventional work on scienti c discovery such as BACON derives empirical law equations from experimental data. In recent years, SDS introducing mathematical admissibility constrain...