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» A Graph Based Data Model for Graphics Interpretation
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JMLR
2010
194views more  JMLR 2010»
13 years 1 months ago
Graphical Gaussian modelling of multivariate time series with latent variables
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
Michael Eichler
ICML
2007
IEEE
14 years 7 months ago
Adaptive mesh compression in 3D computer graphics using multiscale manifold learning
This paper investigates compression of 3D objects in computer graphics using manifold learning. Spectral compression uses the eigenvectors of the graph Laplacian of an object'...
Sridhar Mahadevan
BMCBI
2007
144views more  BMCBI 2007»
13 years 6 months ago
Accelerated search for biomolecular network models to interpret high-throughput experimental data
Background: The functions of human cells are carried out by biomolecular networks, which include proteins, genes, and regulatory sites within DNA that encode and control protein e...
Suman Datta, Bahrad A. Sokhansanj
SSPR
2004
Springer
14 years 1 days ago
Symbols Recognition System for Graphic Documents Combining Global Structural Approaches and Using a XML Representation of Data
In this paper we present a symbols recognition system for graphic documents, based on a combination of global structural approaches. Our system allows to extract components and the...
Mathieu Delalandre, Éric Trupin, Jean-Marc ...
ICSE
2000
IEEE-ACM
13 years 10 months ago
Graphical animation of behavior models
Graphical animation is a way of visualizing the behavior of design models. This visualization is of use in validating a design model against informally specified requirements and ...
Jeff Magee, Nat Pryce, Dimitra Giannakopoulou, Jef...