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JMLR
2006
113views more  JMLR 2006»
15 years 4 months ago
Learning the Structure of Linear Latent Variable Models
We describe anytime search procedures that (1) find disjoint subsets of recorded variables for which the members of each subset are d-separated by a single common unrecorded cause...
Ricardo Silva, Richard Scheines, Clark Glymour, Pe...
WMTE
2005
IEEE
15 years 9 months ago
G1: 1 Scenarios: Envisioning the Context for WMTE in 2015
The G1:1 international network of learning researchers met to identify major trends and uncertainties that could drive the evolution of learning technology. Using a technique call...
Jeremy Roschelle, Charles Patton, John Brecht, Mar...
ISBI
2002
IEEE
16 years 5 months ago
Statistical shape model for automatic skull-stripping of brain images
This paper presents a statistical shape model for automatic skull stripping of MR brain images. A surface model of the brain boundary is hierarchically represented by a set of ove...
Zhiqiang Lao, Dinggang Shen, Christos Davatzikos
KI
2007
Springer
15 years 10 months ago
Location-Based Activity Recognition
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signiď¬...
Dieter Fox
DEXAW
2007
IEEE
133views Database» more  DEXAW 2007»
15 years 8 months ago
Generating a Topic Hierarchy from Dialect Texts
We built a system for the automatic creation of a textbased topic hierarchy, meant to be used in a geographically defined community. This poses two main problems. First, the appea...
Wim De Smet, Marie-Francine Moens