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» Variable selection using neural-network models
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BMCBI
2008
118views more  BMCBI 2008»
14 years 9 months ago
Inferring transcriptional compensation interactions in yeast via stepwise structure equation modeling
Background: With the abundant information produced by microarray technology, various approaches have been proposed to infer transcriptional regulatory networks. However, few appro...
Grace S. Shieh, Chung-Ming Chen, Ching-Yun Yu, Jui...
62
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ICPR
2008
IEEE
15 years 11 months ago
Object localization using affine invariant substructure constraints
In this paper we propose a novel method for generic object localization. The method is based on modeling the object as a graph at two levels: a local substructural representation ...
Ahmed M. Elgammal, Ishani Chakraborty
BMCBI
2010
165views more  BMCBI 2010»
14 years 9 months ago
MTar: a computational microRNA target prediction architecture for human transcriptome
Background: MicroRNAs (miRNAs) play an essential task in gene regulatory networks by inhibiting the expression of target mRNAs. As their mRNA targets are genes involved in importa...
Vinod Chandra, Reshmi Girijadevi, Achuthsankar S. ...
ICMCS
2006
IEEE
164views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Camera Motion Detection using Video Mosaicing
In this paper, camera motion detection methods using a background image generated by video mosaicing based on the correlation between feature points on a frame pair are described....
Masaki Naito, Kazunori Matsumoto, Keiichiro Hoashi...
BMVC
2010
14 years 7 months ago
Joint Modeling of Algorithm Behavior and Image Quality for Algorithm Performance Prediction
In this paper, we propose a framework for predicting the performance of a vision algorithm given the input image or video so as to maximize the algorithm's ability to provide...
Apurva Gala, Shishir Shah