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ICTAI
2008
IEEE
14 years 3 months ago
The Performance of Approximating Ordinary Differential Equations by Neural Nets
—The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of compu...
Josef Fojdl, Rüdiger W. Brause
AMDO
2006
Springer
14 years 12 days ago
Human Motion Synthesis by Motion Manifold Learning and Motion Primitive Segmentation
Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...
Chan-Su Lee, Ahmed M. Elgammal
BMCBI
2010
150views more  BMCBI 2010»
13 years 8 months ago
Systematic calibration of a cell signaling network model
Background: Mathematical modeling is being applied to increasingly complex biological systems and datasets; however, the process of analyzing and calibrating against experimental ...
Kyoung Ae Kim, Sabrina L. Spencer, John G. Albeck,...
EEE
2004
IEEE
14 years 11 days ago
e-Transformation Technologies: Case Studies and the Road Ahead - A Value Chain Perspective
e-Transformation technologies, for the past few years, have been evolving towards the goal of information integration and system interoperability. While there is no doubt that int...
William Kwok-Wai Cheung
SDM
2007
SIAM
73views Data Mining» more  SDM 2007»
13 years 10 months ago
Sketching Landscapes of Page Farms
The Web is a very large social network. It is important and interesting to understand the “ecology” of the Web: the general relations of Web pages to their environment. The un...
Bin Zhou 0002, Jian Pei