159 search results - page 10 / 32 » Feature extraction of volume data based on multi-scale repre... |
119
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ICIP
2010
IEEE
14 years 9 months ago
2010
IEEE
In this paper, an automatic target recognition algorithm is presented based on a framework for learning dictionaries for simultaneous sparse signal representation and feature extr...
110
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SMA
2003
ACM
15 years 5 months ago
2003
ACM
3D scanners developed over the past several decades have facilitated the reconstruction of complicated engineering parts. Typically the boundary representation of a part is recons...
117
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IWVF
2001
Springer
15 years 4 months ago
2001
Springer
Volumetric images of small mortar samples under load are acquired by X-ray microtomography. The images are binarized at many different threshold values, and over a million connecte...
ICDM
2008
IEEE
15 years 6 months ago
2008
IEEE
In this paper, we present a novel feature extraction framework, called learning by propagability. The whole learning process is driven by the philosophy that the data labels and o...
106
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NIPS
2007
15 years 1 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...