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» Combining feature selectors for text classification
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IVC
2006
259views more  IVC 2006»
13 years 7 months ago
Object detection using spatial histogram features
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, th...
Hongming Zhang, Wen Gao, Xilin Chen, Debin Zhao
BMCBI
2005
155views more  BMCBI 2005»
13 years 7 months ago
Mining protein function from text using term-based support vector machines
Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
HICSS
1997
IEEE
89views Biometrics» more  HICSS 1997»
13 years 11 months ago
Text Types in Hypermedia
The discipline of narratology has long recognized the need to classify documents as instances of different text types. We have discovered that classification is as applicable to h...
Stephen W. Smoliar, James D. Baker
TIP
2002
179views more  TIP 2002»
13 years 7 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
BMCBI
2005
114views more  BMCBI 2005»
13 years 7 months ago
AutoFACT: An Automatic Functional Annotation and Classification Tool
Background: Assignment of function to new molecular sequence data is an essential step in genomics projects. The usual process involves similarity searches of a given sequence aga...
Liisa B. Koski, Michael W. Gray, B. Franz Lang, Ge...