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BMCBI
2008
77views more  BMCBI 2008»
14 years 9 months ago
Stochastic models for the in silico simulation of synaptic processes
Background: Research in life sciences is benefiting from a large availability of formal description techniques and analysis methodologies. These allow both the phenomena investiga...
Andrea Bracciali, Marcello Brunelli, Enrico Catald...
BMCBI
2006
119views more  BMCBI 2006»
14 years 9 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
CORR
2006
Springer
125views Education» more  CORR 2006»
14 years 9 months ago
Barriers and local minima in energy landscapes of stochastic local search
: A local search algorithm operating on an instance of a Boolean constraint satisfaction problem (in particular, k-SAT) can be viewed as a stochastic process traversing successive ...
Petteri Kaski
97
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CIVR
2010
Springer
227views Image Analysis» more  CIVR 2010»
14 years 7 months ago
Evaluating detection of near duplicate video segments
The automatic detection of near duplicate video segments, such as multiple takes of a scene or different news video clips showing the same event, has received growing research int...
Werner Bailer
BMCBI
2010
87views more  BMCBI 2010»
14 years 4 months ago
A fast and robust hepatocyte quantification algorithm including vein processing
Background: Quantification of different types of cells is often needed for analysis of histological images. In our project, we compute the relative number of proliferating hepatoc...
Tetyana Ivanovska, Andrea Schenk, André Hom...