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» Sequence Complexity for Biological Sequence Analysis
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KDD
2010
ACM
270views Data Mining» more  KDD 2010»
13 years 10 months ago
An energy-efficient mobile recommender system
The increasing availability of large-scale location traces creates unprecedent opportunities to change the paradigm for knowledge discovery in transportation systems. A particular...
Yong Ge, Hui Xiong, Alexander Tuzhilin, Keli Xiao,...
BIOINFORMATICS
2010
127views more  BIOINFORMATICS 2010»
13 years 8 months ago
Analyzing taxonomic classification using extensible Markov models
Motivation: As next generation sequencing is rapidly adding new genomes, their correct placement in the taxonomy needs verification. However, the current methods for confirming cl...
Rao M. Kotamarti, Michael Hahsler, Douglas Raiford...
BMCBI
2006
128views more  BMCBI 2006»
13 years 8 months ago
Comparative assessment of performance and genome dependence among phylogenetic profiling methods
Background: The rapidly increasing speed with which genome sequence data can be generated will be accompanied by an exponential increase in the number of sequenced eukaryotes. Wit...
Evan S. Snitkin, Adam M. Gustafson, Joseph C. Mell...
JSYML
2007
100views more  JSYML 2007»
13 years 7 months ago
Combinatorial principles weaker than Ramsey's Theorem for pairs
We investigate the complexity of various combinatorial theorems about linear and partial orders, from the points of view of computability theory and reverse mathematics. We focus ...
Denis R. Hirschfeldt, Richard A. Shore
ICIAP
2001
Springer
14 years 8 months ago
2D Shape Recognition by Hidden Markov Models
In Computer Vision, two-dimensional shape classifcation is a complex and well studied topic, often basic for three-dimensional object recognition. Object contours are a widely cho...
Manuele Bicego, Vittorio Murino