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» Computability of Models for Sequence Assembly
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BIOINFORMATICS
2005
140views more  BIOINFORMATICS 2005»
15 years 6 months ago
Profile-based direct kernels for remote homology detection and fold recognition
Motivation: Remote homology detection between protein sequences is a central problem in computational biology. Supervised learning algorithms based on support vector machines are ...
Huzefa Rangwala, George Karypis
JCB
2002
111views more  JCB 2002»
15 years 5 months ago
A General Edit Distance between RNA Structures
Arc-annotated sequences are useful in representing the structural information of RNA sequences. In general, RNA secondary and tertiary structures can be represented as a set of ne...
Tao Jiang, Guohui Lin, Bin Ma, Kaizhong Zhang
BIOINFORMATICS
2012
13 years 8 months ago
SSuMMo: rapid analysis, comparison and visualization of microbial communities
Motivation: Next-generation sequencing methods are generating increasingly massive datasets, yet still do not fully capture genetic diversity in the richest environments. To under...
Alex L. B. Leach, James P. J. Chong, Kelly R. Rede...
CVPR
2006
IEEE
16 years 8 months ago
Element-Free Elastic Models for Volume Fitting and Capture
We present a new method of fitting an element-free volumetric model to a sequence of deforming surfaces of a moving object. Given a sequence of visual hulls, we iteratively fit an...
Jaeil Choi, Andrzej Szymczak, Greg Turk, Irfan A. ...
EMMCVPR
2001
Springer
15 years 10 months ago
Designing the Minimal Structure of Hidden Markov Model by Bisimulation
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Manuele Bicego, Agostino Dovier, Vittorio Murino