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IPPS
2008
IEEE
16 years 26 days ago
SWAMP: Smith-Waterman using associative massive parallelism
One of the most commonly used tools by computational biologists is some form of sequence alignment. Heuristic alignment algorithms developed for speed and their multiple results s...
Shannon Steinfadt, Johnnie W. Baker
TALG
2008
97views more  TALG 2008»
15 years 6 months ago
On an infinite family of solvable Hanoi graphs
The Tower of Hanoi problem is generalized by placing pegs on the vertices of a given directed graph G with two distinguished vertices, S and D, and allowing moves only along arcs o...
Dany Azriel, Noam Solomon, Shay Solomon
TIP
2011
231views more  TIP 2011»
15 years 28 days ago
Variational Bayesian Super Resolution
—In this paper, we address the super resolution (SR) problemfromasetofdegradedlowresolution(LR)imagestoobtain a high resolution (HR) image. Accurate estimation of the sub-pixel m...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
TACAS
2007
Springer
99views Algorithms» more  TACAS 2007»
16 years 17 days ago
"Don't Care" Modeling: A Logical Framework for Developing Predictive System Models
Analysis of biological data often requires an understanding of components of pathways and/or networks and their mutual dependency relationships. Such systems are often analyzed and...
Hillel Kugler, Amir Pnueli, Michael J. Stern, E. J...
BIBE
2007
IEEE
162views Bioinformatics» more  BIBE 2007»
16 years 24 days ago
An Investigation into the Feasibility of Detecting Microscopic Disease Using Machine Learning
— The prognosis for many cancers could be improved dramatically if they could be detected while still at the microscopic disease stage. We are investigating the possibility of de...
Mary Qu Yang, Jack Y. Yang