2800 search results - page 490 / 560 » Introduction to Pattern Recognition |
123
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ISVC
2010
Springer
15 years 2 months ago
2010
Springer
SIFT is one of the most popular algorithms to extract points of interest from images. It is a scale+rotation invariant method. As a consequence, if one compares points of interest ...
138
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MICCAI
2010
Springer
15 years 2 months ago
2010
Springer
The high dimensionality of functional magnetic resonance imaging (fMRI) data presents major challenges to fMRI pattern classification. Directly applying standard classifiers often ...
126
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PRL
2010
15 years 2 months ago
2010
A novel nonlinear scale space framework is proposed for the purpose of multiscale image representation. The scale space decomposition problem is formulated as a general Bayesian l...
149
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SAC
2010
ACM
15 years 2 months ago
2010
ACM
Problems involving high-dimensional data, such as pattern recognition, image analysis, and gene clustering, often require a preliminary step of dimension reduction before or durin...
167
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TIP
2010
15 years 2 months ago
2010
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...