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» On numbers of Davenport-Schinzel sequences
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TSP
2008
91views more  TSP 2008»
15 years 1 months ago
A Sequential Monte Carlo Method for Motif Discovery
We propose a sequential Monte Carlo (SMC)-based motif discovery algorithm that can efficiently detect motifs in datasets containing a large number of sequences. The statistical di...
Kuo-ching Liang, Xiaodong Wang, Dimitris Anastassi...
BMCBI
2010
102views more  BMCBI 2010»
14 years 8 months ago
Predicting protein-protein interactions in unbalanced data using the primary structure of proteins
Background: Elucidating protein-protein interactions (PPIs) is essential to constructing protein interaction networks and facilitating our understanding of the general principles ...
Chi-Yuan Yu, Lih-Ching Chou, Darby Tien-Hao Chang
BMCBI
2011
14 years 8 months ago
iPhy: an integrated phylogenetic workbench for supermatrix analyses
Background: The increasing availability of molecular sequence data means that the accuracy of future phylogenetic studies is likely to by limited by systematic bias and taxon choi...
Martin O. Jones, Georgios D. Koutsovoulos, Mark L....
ICCV
2003
IEEE
16 years 3 months ago
Using Temporal Coherence to Build Models of Animals
This paper describes a system that can build appearance models of animals automatically from a video sequence of the relevant animal with no explicit supervisory information. The ...
Deva Ramanan, David A. Forsyth
TAMC
2007
Springer
15 years 7 months ago
Finding a Duplicate and a Missing Item in a Stream
We consider the following problem in a stream model: Given a sequence a = a1, a2, . . . , am wich each ai ∈ [n] = {1, . . . , n} and m > n, find a duplicate in the sequence, ...
Jun Tarui