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» Learning to combine distances for complex representations
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AAAI
2008
14 years 11 months ago
POIROT - Integrated Learning of Web Service Procedures
POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...
Mark H. Burstein, Robert Laddaga, David McDonald, ...
MM
2005
ACM
139views Multimedia» more  MM 2005»
15 years 3 months ago
Exploiting self-adaptive posture-based focus estimation for lecture video editing
Head pose plays a special role in estimating a presenter’s focuses and actions for lecture video editing. This paper presents an efficient and robust head pose estimation algori...
Feng Wang, Chong-Wah Ngo, Ting-Chuen Pong
MICCAI
2000
Springer
15 years 1 months ago
Small Sample Size Learning for Shape Analysis of Anatomical Structures
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
BMVC
2010
14 years 7 months ago
Generalized RBF feature maps for Efficient Detection
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
Sreekanth Vempati, Andrea Vedaldi, Andrew Zisserma...
ICCAD
2000
IEEE
88views Hardware» more  ICCAD 2000»
15 years 1 months ago
Hierarchical Interconnect Circuit Models
The increasing size of integrated systems combined with deep submicron physical modeling details creates an explosion in RLC interconnect modeling complexity of unmanageable propo...
Michael W. Beattie, Satrajit Gupta, Lawrence T. Pi...