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BMCBI
2010
165views more  BMCBI 2010»
13 years 7 months ago
Bayesian integrated modeling of expression data: a case study on RhoG
Background: DNA microarrays provide an efficient method for measuring activity of genes in parallel and even covering all the known transcripts of an organism on a single array. T...
Rashi Gupta, Dario Greco, Petri Auvinen, Elja Arja...
ICASSP
2009
IEEE
14 years 2 months ago
A criterion for the enhancement of time-frequency masks in missing data recognition
Despite their effectiveness for robust speech processing, missing data techniques are vulnerable to errors in the classification of the input speech signal’s time-frequency poi...
Daniel Pullella, Roberto Togneri
TRANSCI
2010
128views more  TRANSCI 2010»
13 years 5 months ago
An Information-Theoretic Sensor Location Model for Traffic Origin-Destination Demand Estimation Applications
To design a transportation sensor network, the decision-maker needs to determine what sensor investments should be made, as well as when, how, where and with what technologies. Th...
Xuesong Zhou, George F. List
ICRA
2005
IEEE
103views Robotics» more  ICRA 2005»
14 years 1 months ago
A Model-Based Framework for Optimal Measurements in Machine Tool Calibration
— Calibration is the procedure of quantifying mechanical deficiencies of machines and compensating them by appropriate adjustment. This paper introduces a modelbased measurement...
D. Brunn, Uwe D. Hanebeck
IPMI
2001
Springer
14 years 8 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...