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NIPS
1998
15 years 7 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
WACV
2005
IEEE
15 years 11 months ago
Semi-Supervised Self-Training of Object Detection Models
The construction of appearance-based object detection systems is time-consuming and difficult because a large number of training examples must be collected and manually labeled i...
Chuck Rosenberg, Martial Hebert, Henry Schneiderma...
COGSCI
2002
71views more  COGSCI 2002»
15 years 6 months ago
Spanning seven orders of magnitude: a challenge for cognitive modeling
Much of cognitive psychology focuses on effects measured in tens of milliseconds while significant educational outcomes take tens of hours to achieve. The task of bridging this ga...
John R. Anderson
ICMCS
2006
IEEE
191views Multimedia» more  ICMCS 2006»
16 years 6 days ago
Tracking of Human Body Joints using Anthropometry
Most of the methods for human motion tracking are based on the modeling of human dynamics in action execution. In even small example space of human activities, the variation in ac...
Alexei Gritai, Mubarak Shah
ISBI
2002
IEEE
16 years 6 months ago
Covariance-driven retinal image registration initialized from small sets of landmark correspondences
An automatic retinal image registration algorithm would be an important tool for detecting visible changes in the retina caused by the progress of a disease or by the impact of a ...
Chia-Ling Tsai, Charles V. Stewart, Badrinath Roys...