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» Parameterized Learning Complexity
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PAMI
2006
178views more  PAMI 2006»
15 years 2 months ago
Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
Jakob J. Verbeek
SI3D
2006
ACM
15 years 8 months ago
Normal mapping for precomputed radiance transfer
Normal mapping is a variant of bump mapping that is commonly used in computer games. It models complex surface variations by explicitly storing a surface normal in a texture map. ...
Peter-Pike J. Sloan
ICRA
2010
IEEE
173views Robotics» more  ICRA 2010»
15 years 24 days ago
A skill-based motion planning framework for humanoids
— This paper presents a multi-skill motion planner which is able to sequentially synchronize parameterized motion skills in order to achieve humanoid motions exhibiting complex w...
Marcelo Kallmann, Yazhou Huang, Robert Backman
SAT
2007
Springer
75views Hardware» more  SAT 2007»
15 years 8 months ago
Matched Formulas and Backdoor Sets
We demonstrate hardness results for the detection of small backdoor sets with respect to base classes Mr of CNF formulas with maximum deficiency ≤ r (M0 is the class of matched...
Stefan Szeider
89
Voted
IJCNN
2000
IEEE
15 years 6 months ago
Taxonomy of Neural Transfer Functions
The choice of transfer functions may strongly influence complexity and performance of neural networks used in classification and approximation tasks. A taxonomy of activation an...
Wlodzislaw Duch, Norbert Jankowski