92 search results - page 2 / 19 » Unsupervised Learning from Complex Data: The Matrix Incision... |
BMCBI
2010
13 years 5 months ago
2010
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
UAI
2008
13 years 6 months ago
2008
A Bayesian treatment of latent directed graph structure for non-iid data is provided where each child datum is sampled with a directed conditional dependence on a single unknown p...
NAACL
2010
13 years 3 months ago
2010
We present three approaches for unsupervised grammar induction that are sensitive to data complexity and apply them to Klein and Manning's Dependency Model with Valence. The ...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
Models of activity structure for unconstrained environments are generally not available a priori. Recent representational approaches to this end are limited by their computational...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
Many recognition algorithms depend on careful positioning of an object into a canonical pose, so the position of features relative to a fixed coordinate system can be examined. Cu...