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» Alignment and Distribution is NOT (Always) NP-Hard
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ICCV
2009
IEEE
13 years 6 months ago
Face alignment through subspace constrained mean-shifts
Deformable model fitting has been actively pursued in the computer vision community for over a decade. As a result, numerous approaches have been proposed with varying degrees of ...
Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn
ACL
2006
13 years 10 months ago
Going Beyond AER: An Extensive Analysis of Word Alignments and Their Impact on MT
This paper presents an extensive evaluation of five different alignments and investigates their impact on the corresponding MT system output. We introduce new measures for intrins...
Necip Fazil Ayan, Bonnie J. Dorr
BMCBI
2011
13 years 3 months ago
Accurate statistics for local sequence alignment with position-dependent scoring by rare-event sampling
Background: Molecular database search tools need statistical models to assess the significance for the resulting hits. In the classical approach one asks the question how probable...
Stefan Wolfsheimer, Inke Herms, Sven Rahmann, Alex...
BMCBI
2005
115views more  BMCBI 2005»
13 years 8 months ago
Statistical distributions of optimal global alignment scores of random protein sequences
Background: The inference of homology from statistically significant sequence similarity is a central issue in sequence alignments. So far the statistical distribution function un...
Hongxia Pang, Jiaowei Tang, Su-Shing Chen, Shiheng...
ICPP
2007
IEEE
14 years 2 months ago
Efficient Parallel Algorithm for Optimal Three-Sequences Alignment
Sequence alignment is a fundamental problem in the computational biology. Many alignment methods have been proposed in the literature, such as pair-wise sequence alignment (2SA), ...
Chun-Yuan Lin, Chen Tai Huang, Yeh-Ching Chung, Ch...