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» Measuring and Predicting Object Importance
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99
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BMCBI
2010
108views more  BMCBI 2010»
14 years 10 months ago
Prediction of RNA secondary structure by maximizing pseudo-expected accuracy
Background: Recent studies have revealed the importance of considering the entire distribution of possible secondary structures in RNA secondary structure predictions; therefore, ...
Michiaki Hamada, Kengo Sato, Kiyoshi Asai
ICIP
1994
IEEE
16 years 2 months ago
An Object-oriented Optimization System
We describe the implementation of a graphical programming tool in the object-oriented language, Smalltalk80, that allows a user to construct a radiographic measurement model. The ...
G. S. Cunningham, K. M. Hanson, G. R. Jennings Jr....
115
Voted
ICASSP
2010
IEEE
15 years 24 days ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams
MASCOTS
2000
15 years 2 months ago
A Transaction-Level Tool for Predicting TCP Performance and for Network Engineering
Most network engineering tools are unsatisfactory. Measurements are not predictive, simulations do not scale, and analysis is limited to oversimplified models. To be more useful, ...
Jean C. Walrand
134
Voted
DASFAA
2011
IEEE
231views Database» more  DASFAA 2011»
14 years 4 months ago
Querying Moving Objects with Uncertainty in Spatio-Temporal Databases
Spatio-temporal uncertainty is a special feature of moving objects due to the inability of precisely capturing or predicting their continuously changing locations. Indeterminate lo...
Hechen Liu, Markus Schneider