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» Using Parsimony to Guide Maximum Likelihood Searches
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BMCBI
2010
137views more  BMCBI 2010»
14 years 9 months ago
Improving pairwise sequence alignment accuracy using near-optimal protein sequence alignments
Background: While the pairwise alignments produced by sequence similarity searches are a powerful tool for identifying homologous proteins - proteins that share a common ancestor ...
Michael L. Sierk, Michael E. Smoot, Ellen J. Bass,...
CVPR
2010
IEEE
15 years 5 months ago
CRAM: Compact Representation of Actions in Movies
Thousands of hours of video are recorded every second across the world. Due to the fact that searching for a particular event of interest within hours of video is time consuming, ...
Mikel Rodriguez
ICASSP
2008
IEEE
15 years 3 months ago
Blind maximum-likelihood data recovery in OFDM
OFDM modulation combines the advantages of high achievable rates and relatively easy implementation. In this paper, we show how to perform blind maximum-likelihood data recovery i...
T. Y. Al-Naffouri, Ahmed Abdul Quadeer
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
15 years 3 months ago
A particle swarm algorithm for symbols detection in wideband spatial multiplexing systems
This paper explores the application of the particle swarm algorithm for a NP-hard problem in the area of wireless communications. The specific problem is of detecting symbols in a...
Adnan Ahmed Khan, Muhammad Naeem, Syed Ismail Shah
DICS
2006
15 years 1 months ago
Algorithms for Failure Protection in Large IP-over-fiber and Wireless Ad Hoc Networks
We address failure location and restoration in both optical and wireless ad hoc networks. First, we show how Maximum Likelihood inference can improve failure location algorithms in...
Frederick Ducatelle, Luca Maria Gambardella, Macie...