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UAI
2003
15 years 8 months ago
The Information Bottleneck EM Algorithm
Learning with hidden variables is a central challenge in probabilistic graphical models that has important implications for many real-life problems. The classical approach is usin...
Gal Elidan, Nir Friedman
JMLR
2008
83views more  JMLR 2008»
15 years 6 months ago
Generalization from Observed to Unobserved Features by Clustering
We argue that when objects are characterized by many attributes, clustering them on the basis of a random subset of these attributes can capture information on the unobserved attr...
Eyal Krupka, Naftali Tishby
JUCS
2007
86views more  JUCS 2007»
15 years 6 months ago
Improving LO Quality through Instructional Design Based on an Ontological Model and Metadata
: The activities developed in this paper were aimed at providing an awareness of the elements that should be considered in quality learning objects instructional design for elearni...
Erla Morales Morgado, Francisco José Garc&i...
IJCV
2000
97views more  IJCV 2000»
15 years 6 months ago
Contour Tracking in Clutter: A Subset Approach
A new method for tracking contours of moving objects in clutter is presented. For a given object, a model of its contours is learned from training data in the form of a subset of c...
Daniel Freedman, Michael S. Brandstein
ICCV
2009
IEEE
15 years 4 months ago
Constructing implicit 3D shape models for pose estimation
We present a system that constructs "implicit shape models" for classes of rigid 3D objects and utilizes these models to estimating the pose of class instances in single...
Mica Arie-Nachimson, Ronen Basri