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RECOMB
1997
Springer
15 years 8 months ago
A branch-and-cut algorithm for multiple sequence alignment
Multiple sequence alignment is an important problem in computational biology. We study the Maximum Trace formulation introduced by Kececioglu [?]. We first phrase the problem in ...
Knut Reinert, Hans-Peter Lenhof, Petra Mutzel, Kur...
JPDC
2007
167views more  JPDC 2007»
15 years 3 months ago
On the design of high-performance algorithms for aligning multiple protein sequences on mesh-based multiprocessor architectures
In this paper, we address the problem of multiple sequence alignment (MSA) for handling very large number of proteins sequences on mesh-based multiprocessor architectures. As the ...
Diana H. P. Low, Bharadwaj Veeravalli, David A. Ba...
AI
1998
Springer
15 years 8 months ago
A Hybrid Convergent Method for Learning Probabilistic Networks
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
Jun Liu, Kuo-Chu Chang, Jing Zhou
PAMI
2010
245views more  PAMI 2010»
15 years 2 months ago
A Combinatorial Solution for Model-Based Image Segmentation and Real-Time Tracking
—We propose a combinatorial solution to determine the optimal elastic matching of a deformable template to an image. The central idea is to cast the optimal matching of each temp...
Thomas Schoenemann, Daniel Cremers
ITSL
2008
15 years 5 months ago
An Empirical Comparison of NML Clustering Algorithms
Clustering can be defined as a data assignment problem where the goal is to partition the data into nonhierarchical groups of items. In our previous work, we suggested an informati...
Petri Kontkanen, Petri Myllymäki