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» Discovering Classification from Data of Multiple Sources
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CIKM
2006
Springer
14 years 13 hour ago
Efficient range-constrained similarity search on wavelet synopses over multiple streams
Due to the resource limitation in the data stream environment, it has been reported that answering user queries according to the wavelet synopsis of a stream is an essential abili...
Hao-Ping Hung, Ming-Syan Chen
BMCBI
2010
117views more  BMCBI 2010»
13 years 5 months ago
Screensaver: an open source lab information management system (LIMS) for high throughput screening facilities
Background: Shared-usage high throughput screening (HTS) facilities are becoming more common in academe as large-scale small molecule and genome-scale RNAi screening strategies ar...
Andrew N. Tolopko, John P. Sullivan, Sean D. Erick...
ICCV
2009
IEEE
15 years 3 months ago
Robust Fitting of Multiple Structures: The Statistical Learning Approach
We propose an unconventional but highly effective approach to robust fitting of multiple structures by using statistical learning concepts. We design a novel Mercer kernel for t...
Tat-Jun Chin, Hanzi Wang, David Suter
KES
2008
Springer
13 years 10 months ago
Epileptic Seizure Classification Using Neural Networks with 14 Features
Epilepsy is one of the most frequent neurological disorders. The main method used in epilepsy diagnosis is electroencephalogram (EEG) signal analysis. However this method requires ...
Rui P. Costa, Pedro Oliveira, Guilherme Rodrigues,...
BMCBI
2005
107views more  BMCBI 2005»
13 years 10 months ago
An edit script for taxonomic classifications
Abstract. Taxonomy provides one of the most powerful ways to navigate sequence data bases but currently, users are forced to formulate queries according to a single taxonomic class...
Roderic D. M. Page, Gabriel Valiente