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» Solving operational statistics via a Bayesian analysis
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TMI
1998
155views more  TMI 1998»
14 years 10 months ago
Spatio-temporal fMRI Analysis using Markov Random Fields
Abstract—Functional magnetic resonance images (fMRI’s) provide high-resolution datasets which allow researchers to obtain accurate delineation and sensitive detection of activa...
Xavier Descombes, Frithjof Kruggel, D. Yves von Cr...
87
Voted
RECOMB
2003
Springer
15 years 11 months ago
Optimizing exact genetic linkage computations
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
Dan Geiger, Maáyan Fishelson
111
Voted
3DOR
2008
15 years 1 months ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
BMCBI
2008
97views more  BMCBI 2008»
14 years 11 months ago
Comparison study on k-word statistical measures for protein: From sequence to 'sequence space'
Background: Many proposed statistical measures can efficiently compare protein sequence to further infer protein structure, function and evolutionary information. They share the s...
Qi Dai, Tian-Ming Wang
84
Voted
DRR
2008
15 years 10 days ago
Hybrid approach combining contextual and statistical information for identifying MEDLINE citation terms
There is a strong demand for developing automated tools for extracting pertinent information from the biomedical literature that is a rich, complex, and dramatically growing resou...
In-Cheol Kim, Daniel X. Le, George R. Thoma