254 search results - page 4 / 51 » Evaluation of dimensionality reduction methods for image aut... |
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
This paper presents algorithms for efficiently computing the covariance matrix for features that form sub-windows in a large multidimensional image. For example, several image proc...
ICIP
2010
IEEE
14 years 7 months ago
2010
IEEE
Many classes of image data span a low dimensional nonlinear space embedded in the natural high dimensional image space. We adopt and generalize a recently proposed dimensionality ...
ICIP
2009
IEEE
14 years 7 months ago
2009
IEEE
Kernel-based methods, e.g., support vector machine (SVM), produce high classification performances. However, the computation becomes time-consuming as the number of the vectors su...
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PAMI
2012
12 years 12 months ago
2012
— This paper addresses the problem of large-scale image search. Three constraints have to be taken into account: search accuracy, efficiency, and memory usage. We first present...
ICDM
2003
IEEE
15 years 2 months 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...