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IJCNN
2008
IEEE
16 years 1 months ago
Sparse support vector machines trained in the reduced empirical feature space
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
Kazuki Iwamura, Shigeo Abe
SSPR
2004
Springer
16 years 9 days ago
Feature Shaving for Spectroscopic Data
High-resolution spectroscopy is a powerful industrial tool. The number of features (wavelengths) in these data sets varies from several hundreds up to a thousand. Relevant feature ...
Serguei Verzakov, Pavel Paclík, Robert P. W...
ICCV
2007
IEEE
16 years 9 months ago
Efficient Mining of Frequent and Distinctive Feature Configurations
We present a novel approach to automatically find spatial configurations of local features occurring frequently on instances of a given object class, and rarely on the background....
Till Quack, Vittorio Ferrari, Bastian Leibe, Luc J...
ICTAI
2008
IEEE
16 years 1 months ago
Feature Exploration for Mining Coronal Loops from Solar Images
1 Coronal loops are especially important in analyzing some important phenomena related to the Sun such as the controversial coronal heating problem. The analysis requires astrophys...
Nurcan Durak, Olfa Nasraoui
IEEEICCI
2008
IEEE
16 years 1 months ago
Improved offline signature verification scheme using feature point extraction method
In this paper a novel offline signature verification scheme has been proposed. The scheme is based on selecting 60 feature points from the geometric centre of the signature and co...
Debasish Jena, Banshidhar Majhi, Saroj Kumar Panig...