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» Support Vector Machines for 3D Shape Processing
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ICDM
2003
IEEE
113views Data Mining» more  ICDM 2003»
15 years 3 months ago
Semantic Role Parsing: Adding Semantic Structure to Unstructured Text
There is a ever-growing need to add structure in the form of semantic markup to the huge amounts of unstructured text data now available. We present the technique of shallow seman...
Sameer Pradhan, Kadri Hacioglu, Wayne Ward, James ...
FGR
2004
IEEE
130views Biometrics» more  FGR 2004»
15 years 1 months ago
Sparse Models for Gender Classification
A class of sparse regularization functions are considered for the developing sparse classifiers for determining facial gender. The sparse classification method aims to both select...
Nicholas Costen, Martin Brown, Shigeru Akamatsu
ESANN
2008
14 years 11 months ago
GeoKernels: modeling of spatial data on geomanifolds
This paper presents a review of methodology for semi-supervised modeling with kernel methods, when the manifold assumption is guaranteed to be satisfied. It concerns environmental ...
Alexei Pozdnoukhov, Mikhail F. Kanevski
MVA
2007
146views Computer Vision» more  MVA 2007»
14 years 11 months ago
A SVM Based Method to Detect Color Shift Defects in IC Packages
Automated Visual Inspection (AVI) is an essential part in the manufacturing process of Integrated Circuit (IC) packages. Contamination a common defect type found in IC packages ap...
R. M. C. B. Ratnayake, Craig Hicks, M. A. Akbari
ESANN
2006
14 years 11 months ago
Degeneracy in model selection for SVMs with radial Gaussian kernel
We consider the model selection problem for support vector machines applied to binary classification. As the data generating process is unknown, we have to rely on heuristics as mo...
Tobias Glasmachers