116 search results - page 5 / 24 » Dimensionality reduction techniques for proximity problems |
ICDM
2003
IEEE
14 years 24 days ago
2003
IEEE
We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and com...
SIGMOD
2001
ACM
14 years 7 months ago
2001
ACM
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data....
SMA
2003
ACM
14 years 23 days ago
2003
ACM
Dimensional reduction is a simplification technique that eliminates one or more dimensions from a boundary value problem. It results in significant computational savings with mini...
SDM
2012
SIAM
11 years 10 months ago
2012
SIAM
To date, many active learning techniques have been developed for acquiring labels when training data is limited. However, an important aspect of the problem has often been neglect...
ROMAN
2007
IEEE
14 years 1 months ago
2007
IEEE
— In this work, we perform an extensive statistical evaluation for learning and recognition of object manipulation actions. We concentrate on single arm/hand actions but study th...