1148 search results - page 9 / 230 » Dimensionality Reduction with Image Data |
AUSDM
2007
Springer
15 years 8 months ago
2007
Springer
One of the inherent problems in pattern recognition is the undersampled data problem, also known as the curse of dimensionality reduction. In this paper a new algorithm called pai...
143
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TIT
2008
15 years 1 months ago
2008
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
125
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CVPR
2008
IEEE
16 years 3 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
124
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BMVC
2010
14 years 12 months ago
2010
Image auto-annotation is a challenging task in computer vision. The goal of this task is to predict multiple words for generic images automatically. Recent state-of-theart methods...
133
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SDM
2007
SIAM
15 years 3 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...