49 search results - page 1 / 10 » Factorized Orthogonal Latent Spaces |
JMLR
2010
12 years 11 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 ...
IJCAI
2007
13 years 6 months ago
2007
Detecting and tracking latent factors from temporal data is an important task. Most existing algorithms for latent topic detection such as Nonnegative Matrix Factorization (NMF) h...
BMCBI
2008
13 years 5 months ago
2008
Background: Kernel-based classification and regression methods have been successfully applied to modelling a wide variety of biological data. The Kernel-based Orthogonal Projectio...
UAI
2004
13 years 6 months ago
2004
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
SMC
2010
IEEE
13 years 3 months ago
2010
IEEE
—This study examines the ability of nonnegative matrix factorization (NMF) as a method for constructing semantic spaces, in which the meaning of each word is represented by a hig...