872 search results - page 74 / 175 » A Kernel Between Sets of Vectors |
ICML
2007
IEEE
16 years 8 days ago
2007
IEEE
For large-scale classification problems, the training samples can be clustered beforehand as a downsampling pre-process, and then only the obtained clusters are used for training....
ECML
2006
Springer
15 years 3 months ago
2006
Springer
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
105
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PRL
2006
14 years 11 months ago
2006
Tree-Structured Vector Quantization (TSVQ) is a highly efficient technique for locating an appropriate codeword for each input vector. The algorithm does not guarantee that the sel...
118
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SIGMOD
2004
ACM
15 years 11 months ago
2004
ACM
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
CVPR
2006
IEEE
16 years 1 months ago
2006
IEEE
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...