613 search results - page 19 / 123 » Learning the Structure of Linear Latent Variable Models |
DAC
2007
ACM
14 years 8 months ago
2007
ACM
The number and magnitude of process variation sources are increasing as we scale further into the nano regime. Today's most successful response surface methods limit us to lo...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Maximum a posteriori (MAP) inference in graphical models requires that we maximize the sum of two terms: a data-dependent term, encoding the conditional likelihood of a certain la...
JMLR
2010
13 years 2 months ago
2010
Existing approaches to multi-view learning are particularly effective when the views are either independent (i.e, multi-kernel approaches) or fully dependent (i.e., shared latent ...
BMCBI
2011
12 years 11 months ago
2011
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...