3607 search results - page 126 / 722 » Learning with structured sparsity |
154
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We consider Gaussian multiresolution (MR) models in which coarser, hidden variables serve to capture statistical dependencies among the finest scale variables. Tree-structured MR ...
136
Voted
MICCAI
2009
Springer
15 years 9 months ago
2009
Springer
This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...
108
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NIPS
2007
15 years 4 months ago
2007
Semantic memory refers to our knowledge of facts and relationships between concepts. A successful semantic memory depends on inferring relationships between items that are not exp...
129
Voted
NIPS
2000
15 years 3 months ago
2000
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
144
Voted
ICMLA
2009
15 years 9 days ago
2009
Chord sequences are a compact and useful description of music, representing each beat or measure in terms of a likely distribution over individual notes without specifying the not...