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NIPS
2000
15 years 7 months ago
Structure Learning in Human Causal Induction
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
Joshua B. Tenenbaum, Thomas L. Griffiths
CORR
2010
Springer
74views Education» more  CORR 2010»
15 years 6 months ago
A note on the random greedy triangle-packing algorithm
The random greedy algorithm for constructing a large partial Steiner-Triple-System is defined as follows. We begin with a complete graph on n vertices and proceed to remove the ed...
Tom Bohman, Alan M. Frieze, Eyal Lubetzky
JUCS
2008
147views more  JUCS 2008»
15 years 6 months ago
Authoring Courses with Rich Adaptive Sequencing for IMS Learning Design
: This paper describes the process of translating an adaptive sequencing strategy designed using Sequencing Graphs to the semantics of IMS Learning Design. The relevance of this co...
Sergio Gutiérrez Santos, Abelardo Pardo, Ca...
ICIP
2007
IEEE
16 years 8 months ago
Automated Segmentation of Torn Frames using the Graph Cuts Technique
Film Tear is a form of degradation in archived film and is the physical ripping of the film material. Tear causes displacement of a region of the degraded frame and the loss of im...
David Corrigan, Naomi Harte, Anil C. Kokaram
ICIP
2007
IEEE
16 years 8 months ago
Multicues 2D Articulated Pose Tracking using Particle Filtering and Belief Propagation on Factor Graphs
This paper describes a method for articulated upper body tracking in monocular scenes. The compatibility between model and the image is estimated using one particle filter for eac...
Philippe Noriega, Olivier Bernier