1313 search results - page 132 / 263 » Dimensionality Reduction for Classification |
120
Voted
CIVR
2007
Springer
15 years 9 months ago
2007
Springer
This paper addresses the problem of classifying actions performed by a human subject in a video sequence. A representation eigenspace approach based on the visual appearance is us...
123
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ICMCS
2005
IEEE
15 years 9 months ago
2005
IEEE
Semi-definite Embedding (SDE) has been a recently proposed to maximize the sum of pair wise squared distances between outputs while the input data and outputs are locally isometri...
123
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IWANN
2005
Springer
15 years 8 months ago
2005
Springer
In this work, we suggest a new feature selection technique that lets us use the wrapper approach for finding a well suited feature set for distinguishing experiment classes in hig...
122
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EUROCAST
2003
Springer
15 years 8 months ago
2003
Springer
We propose a novel post processing method for visualization of fiber traces from DT-MRI data. Using a recently proposed non-linear dimensionality reduction technique, Laplacian ei...
113
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ICANN
2003
Springer
15 years 8 months ago
2003
Springer
Locally linear embedding (LLE) is a recently proposed method for unsupervised nonlinear dimensionality reduction. It has a number of attractive features: it does not require an ite...