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» Learning Algorithms for Domain Adaptation
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88
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CG
2005
Springer
15 years 12 days ago
A novel constrained texture mapping method based on harmonic map
In this paper, we present a novel constrained texture mapping method based on the harmonic map. We first project the surface of a 3D model on a planar domain by an angle-based-fla...
Yanwen Guo, Jin Wang, Hanqiu Sun, Xiufen Cui, Quns...
121
Voted
SIAMSC
2010
145views more  SIAMSC 2010»
14 years 7 months ago
An "hp" Certified Reduced Basis Method for Parametrized Elliptic Partial Differential Equations
We present a new "hp" parameter multi-domain certified reduced basis method for rapid and reliable online evaluation of functional outputs associated with parametrized el...
Jens L. Eftang, Anthony T. Patera, Einar M. R&osla...
123
Voted
JIPS
2008
130views more  JIPS 2008»
15 years 14 days ago
Inverted Index based Modified Version of KNN for Text Categorization
: This research proposes a new strategy where documents are encoded into string vectors and modified version of KNN to be adaptable to string vectors for text categorization. Tradi...
Taeho Jo
119
Voted
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
15 years 6 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden
167
Voted

Book
778views
16 years 10 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...