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» Input Modeling Using Quantile Statistical Methods
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89
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BMCBI
2007
126views more  BMCBI 2007»
15 years 24 days ago
Reconstruction of cell population dynamics using CFSE
Background: Quantifying cell division and death is central to many studies in the biological sciences. The fluorescent dye CFSE allows the tracking of cell division in vitro and i...
Andrew Yates, Cliburn Chan, Jessica Strid, Simon M...
IPMI
2001
Springer
16 years 1 months ago
Spatio-temporal Covariance Model for Medical Images Sequences: Application to Functional MRI Data
Spatial and temporal correlations which affect the signal measured in functional MRI (fMRI) are usually not considered simultaneously (i.e., as non-independent random processes) in...
Frithjof Kruggel, Habib Benali, Mélanie P&e...
ACL
2009
14 years 10 months ago
A Syntax-Free Approach to Japanese Sentence Compression
Conventional sentence compression methods employ a syntactic parser to compress a sentence without changing its meaning. However, the reference compressions made by humans do not ...
Tsutomu Hirao, Jun Suzuki, Hideki Isozaki
104
Voted
CVPR
2008
IEEE
15 years 2 months ago
Adaptive region intensity based rigid ultrasound and CT image registration
Rigid registration of intraoperative ultrasound (US) and CT is an important technique to provide real-time guidance for preoperative images and models. Due to the speckle noise an...
Zhijun Zhang
120
Voted
UAI
1996
15 years 2 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon