477 search results - page 35 / 96 » Clustering Complex Data with Group-Dependent Feature Selecti... |
125
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ISBI
2011
IEEE
14 years 3 months ago
2011
IEEE
This paper presents an algorithm to classify pixels in uterine cervix images into two classes, namely normal and abnormal tissues, and simultaneously select relevant features, usi...
192
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ICDE
2008
IEEE
16 years 1 months ago
2008
IEEE
Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...
CCGRID
2008
IEEE
15 years 6 months ago
2008
IEEE
Distributed applications tend to have a complex design due to issues such as concurrency, synchronization and communication. Researchers in the past have proposed abstractions to ...
111
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CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
168
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VLDB
1998
ACM
15 years 4 months ago
1998
ACM
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the featu...