50 search results - page 3 / 10 » Reducing the Dimensionality of Hyperspectral Data using Diff... |
108
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SPEECH
1998
15 years 5 days ago
1998
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...
113
Voted
ICCV
2007
IEEE
15 years 6 months ago
2007
IEEE
We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a category o...
120
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BMCBI
2010
15 years 20 days ago
2010
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
129
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CIRA
2007
IEEE
15 years 6 months ago
2007
IEEE
Abstract—In classical image classification approaches, lowlevel features have been used. But the high dimensionality of feature spaces poses a challenge in terms of feature selec...
131
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MICCAI
2007
Springer
16 years 1 months ago
2007
Springer
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...