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ICPR
2008
IEEE
15 years 4 months ago
On-line boosted cascade for object detection
On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong...
Ingrid Visentini, Lauro Snidaro, Gian Luca Foresti
PRL
2006
130views more  PRL 2006»
14 years 9 months ago
Efficient huge-scale feature selection with speciated genetic algorithm
With increasing interest in bioinformatics, sophisticated tools are required to efficiently analyze gene information. The classification of gene expression profiles is crucial in ...
Jin-Hyuk Hong, Sung-Bae Cho
EWCBR
2006
Springer
15 years 1 months ago
Unsupervised Feature Selection for Text Data
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
Nirmalie Wiratunga, Robert Lothian, Stewart Massie
IWMMDBMS
1998
123views more  IWMMDBMS 1998»
14 years 11 months ago
An Adaptive Block Management Scheme Using On-Line Detection of Block Reference Patterns
Recent research has shown that near optimal performance can be achieved by adaptive block replacement policies that use user-level hints regarding the block reference pattern. How...
Jongmoo Choi, Sam H. Noh, Sang Lyul Min, Yookun Ch...
BMCBI
2011
14 years 1 months ago
CLOTU: An online pipeline for processing and clustering of 454 amplicon reads into OTUs followed by taxonomic annotation
Background: The implementation of high throughput sequencing for exploring biodiversity poses high demands on bioinformatics applications for automated data processing. Here we in...
Surendra Kumar, Tor Carlsen, Bjørn-Helge Me...