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JMLR
2002
90views more  JMLR 2002»
15 years 4 months ago
Machine Learning with Data Dependent Hypothesis Classes
We extend the VC theory of statistical learning to data dependent spaces of classifiers. This theory can be viewed as a decomposition of classifier design into two components; the...
Adam Cannon, J. Mark Ettinger, Don R. Hush, Clint ...
TVCG
2008
169views more  TVCG 2008»
15 years 3 months ago
Adaptive Geometry Image
We present a novel postprocessing utility called adaptive geometry image (AGIM) for global parameterization techniques that can embed a 3D surface onto a rectangular1 domain. This ...
Chih-Yuan Yao, Tong-Yee Lee
ICRA
2010
IEEE
90views Robotics» more  ICRA 2010»
15 years 2 months ago
Robust robotic assembly through contingencies, plan repair and re-planning
Abstract— Enabling mobile robots to assemble large structures in constrained environments requires planning systems that are both capable of dealing with high complexity and can ...
Frederik W. Heger, Sanjiv Singh
TNN
2010
143views Management» more  TNN 2010»
14 years 11 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
TSP
2010
14 years 11 months ago
Analysis of the Stereophonic LMS/Newton Algorithm and Impact of Signal Nonlinearity on Its Convergence Behavior
The strong cross-correlation that exists between the two input audio channels makes the problem of stereophonic acoustic echo cancellation (AEC) complex and challenging to solve. R...
Harsha I. K. Rao, Behrouz Farhang-Boroujeny