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IJON
2008
186views more  IJON 2008»
13 years 7 months ago
Computational analysis and learning for a biologically motivated model of boundary detection
In this work we address the problem of boundary detection by combining ideas and approaches from biological and computational vision. Initially, we propose a simple and efficient ...
Iasonas Kokkinos, Rachid Deriche, Olivier D. Fauge...
ICIP
2005
IEEE
14 years 9 months ago
Predictive compression of dynamic 3D meshes
An efficient algorithm for compression of dynamic time-consistent 3D meshes is presented. Such a sequence of meshes contains a large degree of temporal statistical dependencies tha...
Aljoscha Smolic, Karsten Müller, Matthias Kau...
BMCBI
2011
13 years 2 months ago
Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in i
Background: In the last decades, microarray technology has spread, leading to a dramatic increase of publicly available datasets. The first statistical tools developed were focuse...
Paolo G. V. Martini, Davide Risso, Gabriele Sales,...
ISBI
2009
IEEE
14 years 2 months ago
Instance-Based Generative Biological Shape Modeling
Biological shape modeling is an essential task that is required for systems biology efforts to simulate complex cell behaviors. Statistical learning methods have been used to buil...
Tao Peng, Wei Wang, Gustavo K. Rohde, Robert F. Mu...
CPM
2007
Springer
222views Combinatorics» more  CPM 2007»
14 years 1 months ago
Computing Exact p-Value for Structured Motif
Extracting motifs from a set of DNA sequences is important in computational biology. Occurrence probability is a common used statistics to evaluate the statistical significance of...
Jing Zhang, Xi Chen, Ming Li