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BIBE
2007
IEEE
167views Bioinformatics» more  BIBE 2007»
13 years 11 months ago
Assessing the Performance of Macromolecular Sequence Classifiers
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
Cornelia Caragea, Jivko Sinapov, Vasant Honavar, D...
BMCBI
2008
78views more  BMCBI 2008»
13 years 7 months ago
A new protein linear motif benchmark for multiple sequence alignment software
Background: Linear motifs (LMs) are abundant short regulatory sites used for modulating the functions of many eukaryotic proteins. They play important roles in post-translational ...
Emmanuel Perrodou, Claudia Chica, Olivier Poch, To...
BMCBI
2007
153views more  BMCBI 2007»
13 years 7 months ago
Lower bounds on multiple sequence alignment using exact 3-way alignment
Background: Multiple sequence alignment is fundamental. Exponential growth in computation time appears to be inevitable when an optimal alignment is required for many sequences. E...
Charles J. Colbourn, Sudhir Kumar
ISAAC
2003
Springer
129views Algorithms» more  ISAAC 2003»
14 years 26 days ago
Lower Bounds on Correction Networks
Abstract. Correction networks are comparator networks that sort inputs differing from sorted sequences of length N in a small number of positions. The main application of such netw...
Grzegorz Stachowiak
MM
2005
ACM
250views Multimedia» more  MM 2005»
14 years 1 months ago
An object-based video coding framework for video sequences obtained from static cameras
This paper presents a novel object-based video coding framework for videos obtained from a static camera. As opposed to most existing methods, the proposed method does not require...
Asaad Hakeem, Khurram Shafique, Mubarak Shah