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» Foundations of Uncertain-Data Integration
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BMCBI
2008
138views more  BMCBI 2008»
13 years 9 months ago
M-BISON: Microarray-based integration of data sources using networks
Background: The accurate detection of differentially expressed (DE) genes has become a central task in microarray analysis. Unfortunately, the noise level and experimental variabi...
Bernie J. Daigle Jr., Russ B. Altman
EDBT
2009
ACM
302views Database» more  EDBT 2009»
14 years 4 months ago
RankClus: integrating clustering with ranking for heterogeneous information network analysis
As information networks become ubiquitous, extracting knowledge from information networks has become an important task. Both ranking and clustering can provide overall views on in...
Yizhou Sun, Jiawei Han, Peixiang Zhao, Zhijun Yin,...
WSCG
2003
122views more  WSCG 2003»
13 years 11 months ago
Using Registration, Calibration, and Robotics to Build a More Accurate Virtual Reality Simulation for Astronaut Training and Tel
Computer simulation of surgery and scientific experiments help in preparation, training, and assessment. These benefits can be further extended with the integration of robotics fo...
Anil Menon, B. Barnes, R. Mills, Cynthia Bruyns, A...

Publication
338views
12 years 7 months ago
A Reference Discretization Strategy for the Numerical Solution of Physical Field Problems.
I. Introduction II. Foundations A. The Mathematical Structure of Physical Field Theories B. Geometric Objects and Orientation 1. Space-Time Object...
Claudio Mattiussi

Publication
519views
12 years 7 months ago
The Finite Volume, Finite Difference, and Finite Elements Methods as Numerical Methods for Physical Field Problems
I. Introduction II. Foundations A. The Mathematical Structure of Physical Field Theories B. Geometric Objects and Orientation 1. Space-Time Object...
Claudio Mattiussi