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» High Performance Computing for Disease Surveillance
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BMCBI
2006
146views more  BMCBI 2006»
13 years 7 months ago
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
Satoshi Niijima, Satoru Kuhara
SPIEVIP
2010
13 years 10 months ago
Automatic scene activity modeling for improving object classification
In video surveillance, automatic methods for scene understanding and activity modeling can exploit the high redundancy of object trajectories observed over a long period of time. ...
Samuel Foucher, Marc Lalonde, Langis Gagnon
BMCBI
2008
127views more  BMCBI 2008»
13 years 7 months ago
Gene and pathway identification with Lp penalized Bayesian logistic regression
Background: Identifying genes and pathways associated with diseases such as cancer has been a subject of considerable research in recent years in the area of bioinformatics and co...
Zhenqiu Liu, Ronald B. Gartenhaus, Ming Tan, Feng ...
CVRMED
1997
Springer
13 years 11 months ago
Design considerations for a computer-vision-enabled ophthalmic augmented reality environment
We have initiated studies towards the design and implementation of an ophthalmic augmented reality environment in order to allow for a more precise laser treatment for ophthalmic...
Jeffrey W. Berger, Michael E. Leventon, Nobuhiko H...
ICASSP
2011
IEEE
12 years 11 months ago
Compression using self-similarity-based temporal super-resolution for full-exposure-time video
In order to allow sufficient amount of light into the image sensor, videos captured in poor lighting conditions typically have low frame rate and frame exposure time equals to in...
Mihoko Shimano, Gene Cheung, Imari Sato