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» Spatio-Temporal Alignment of Sequences
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ECML
2006
Springer
13 years 11 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
GCCB
2006
13 years 11 months ago
Accelerated microRNA-Precursor Detection Using the Smith-Waterman Algorithm on FPGAs
During the last few years more and more functionalities of RNA have been discovered that were previously thought of being carried out by proteins alone. One of the most striking di...
Patrick May, Gunnar W. Klau, Markus Bauer, Thomas ...
ACMSE
2008
ACM
13 years 9 months ago
Vibrotactile Glove guidance for semi-autonomous wheelchair operations
This paper describes the use of a tactile display, the Vibratactile Glove, which provides a wheelchair user who has severe visual impairment with essential information to operate ...
Hajime Uchiyama, Michael A. Covington, Walter D. P...
BIRD
2008
Springer
123views Bioinformatics» more  BIRD 2008»
13 years 9 months ago
E-BioFlow: Different Perspectives on Scientific Workflows
We introduce a new type of workflow design system called e-BioFlow and illustrate it by means of a simple sequence alignment workflow. E-BioFlow, intended to model advanced scienti...
Ingo H. C. Wassink, Han Rauwerda, Paul E. van der ...
APPT
2007
Springer
13 years 9 months ago
A Parallel BSP Algorithm for Irregular Dynamic Programming
Dynamic programming is a widely applied algorithm design technique in many areas such as computational biology and scientific computing. Typical applications using this technique a...
Malcolm Yoke-Hean Low, Weiguo Liu, Bertil Schmidt