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» Covariance Kernels from Bayesian Generative Models
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ICCV
2005
IEEE
14 years 11 months ago
Efficient Learning of Relational Object Class Models
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
IJCAI
2001
13 years 10 months ago
IBAL: A Probabilistic Rational Programming Language
In a rational programming language, a program specifies a situation faced by an agent; evaluating the program amounts to computing what a rational agent would believe or do in the...
Avi Pfeffer
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 9 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
CAGD
2006
120views more  CAGD 2006»
13 years 9 months ago
Quality meshing of implicit solvation models of biomolecular structures
This paper describes a comprehensive approach to construct quality meshes for implicit solvation models of biomolecular structures starting from atomic resolution data in the Prot...
Yongjie Zhang, Guoliang Xu, Chandrajit L. Bajaj
ICRA
2009
IEEE
170views Robotics» more  ICRA 2009»
14 years 3 months ago
Automatic high-precision self-calibration of camera-robot systems
— In this article a new method is presented to obtain a full and precise calibration of camera-robot systems with eyein-hand cameras. It achieves a simultaneous and numerically s...
Andreas Jordt, Nils T. Siebel, Gerald Sommer