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CVPR
2012
IEEE
13 years 5 days ago
Adaptive figure-ground classification
We propose an adaptive figure-ground classification algorithm to automatically extract a foreground region using a user-provided bounding-box. The image is first over-segmented wi...
Yisong Chen, Antoni B. Chan, Guoping Wang
71
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BMCBI
2010
74views more  BMCBI 2010»
14 years 10 months ago
A weighted q-gram method for glycan structure classification
Background: Glycobiology pertains to the study of carbohydrate sugar chains, or glycans, in a particular cell or organism. Many computational approaches have been proposed for ana...
Limin Li, Wai-Ki Ching, Takako Yamaguchi, Kiyoko F...
ICC
2007
IEEE
155views Communications» more  ICC 2007»
15 years 4 months ago
Automatic Digital Signal Types Recognition Using SI-NN and HOS
— Recognition of digital signal type is an important topic for various applications. In this paper a method is presented that identifies different types of digital signals. This ...
Ataollah Ebrahimzadeh, Mehrdad Ardebilipour, Alire...
NAR
2011
188views Computer Vision» more  NAR 2011»
14 years 18 days ago
PCDDB: the protein circular dichroism data bank, a repository for circular dichroism spectral and metadata
The Protein Circular Dichroism Data Bank (PCDDB) is a public repository that archives and freely distributes circular dichroism (CD) and synchrotron radiation CD (SRCD) spectral d...
Lee Whitmore, Benjamin Woollett, Andrew J. Miles, ...
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
15 years 10 months ago
Effective multi-label active learning for text classification
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Ch...