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» Improving EAs for Sequencing Problems
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ICIC
2009
Springer
14 years 3 months ago
A Method for Multiple Sequence Alignment Based on Particle Swarm Optimization
Sequence Alignment is a basic information disposal method in Bioinformatics. However, it is difficult to deal with multiple sequence alignment problem(MSA). In this paper, an impro...
Fasheng Xu, Yuehui Chen
SIBGRAPI
2005
IEEE
14 years 2 months ago
Background Subtraction and Shadow Detection in Grayscale Video Sequences
Tracking moving objects in video sequence is an important problem in computer vision, with applications several fields, such as video surveillance and target tracking. Most techn...
Julio Cezar Silveira Jacques Jr., Cláudio R...
ICNP
2003
IEEE
14 years 2 months ago
Improving TCP Startup Performance Using Active Measurements: Algorithm and Evaluation
TCP Slow Start exponentially increases the congestion window size to detect the proper congestion window for a network path. This often results in significant packet loss, while ...
Ningning Hu, Peter Steenkiste
ISMB
1994
13 years 10 months ago
Optimally Parsing a Sequence into Different Classes Based on Multiple Types of Evidence
Weconsider the problem of parsing a sequence into different classes of subsequences.Twocommonexamplesare finding the exons and introns in genomicsequences and identifying the seco...
Gary D. Stormo, David Haussler
GCB
1997
Springer
77views Biometrics» more  GCB 1997»
14 years 1 months ago
Statistics of large scale sequence searching
Motivation: Database search programs such as FASTA, BLAST or a rigorous Smith–Waterman algorithm produce lists of database entries, which are assumed to be related to the query....
Rainer Spang, Martin Vingron