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Geometrical Modelling of Muscle Cells Based on Functional Representation of Polygons

by Julius Parulek, Informatics, Comenius Univerzity, Milos Sramek, Ivan Zahradnik , 2004
"... A geometrical modelling tool allowing construction of models of living cells and their organelles would facilitate understanding of biological processes at the cellular level. Here we describe a technique of skeletal muscle cells modelling, and a construction of the model based on the theory of impl ..."
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A geometrical modelling tool allowing construction of models of living cells and their organelles would facilitate understanding of biological processes at the cellular level. Here we describe a technique of skeletal muscle cells modelling, and a construction of the model based on the theory

Polygonization of Implicit Surfaces

by Jules Bloomenthal , 1988
"... This paper discusses a numerical technique that approximates an implicit surface with a polygonal representation. The implicit function is adaptively sampled as it is surrounded by a spatial partitioning. The partitioning is represented by an octree, which may either converge to the surface or track ..."
Abstract - Cited by 432 (5 self) - Add to MetaCart
This paper discusses a numerical technique that approximates an implicit surface with a polygonal representation. The implicit function is adaptively sampled as it is surrounded by a spatial partitioning. The partitioning is represented by an octree, which may either converge to the surface

Re-Tiling Polygonal Surfaces

by Greg Turk - Computer Graphics , 1992
"... This paper presents an automatic method of creating surface models at several levels of detail from an original polygonal description of a given object. Representing models at various levels of detail is important for achieving high frame rates in interactive graphics applications and also for speed ..."
Abstract - Cited by 448 (3 self) - Add to MetaCart
This paper presents an automatic method of creating surface models at several levels of detail from an original polygonal description of a given object. Representing models at various levels of detail is important for achieving high frame rates in interactive graphics applications and also

The Systems Biology Markup Language (SBML): a medium for representation and exchange of biochemical network models

by Michael Hucka, Andrew Finney, Herbert Sauro, Hamid Bolouri - Bioinformatics , 2003
"... ..."
Abstract - Cited by 629 (41 self) - Add to MetaCart
Abstract not found

Hierarchical Models of Object Recognition in Cortex

by Maximilian Riesenhuber, Tomaso Poggio , 1999
"... The classical model of visual processing in cortex is a hierarchy of increasingly sophisticated representations, extending in a natural way the model of simple to complex cells of Hubel and Wiesel. Somewhat surprisingly, little quantitative modeling has been done in the last 15 years to explore th ..."
Abstract - Cited by 817 (84 self) - Add to MetaCart
The classical model of visual processing in cortex is a hierarchy of increasingly sophisticated representations, extending in a natural way the model of simple to complex cells of Hubel and Wiesel. Somewhat surprisingly, little quantitative modeling has been done in the last 15 years to explore

The SWISS-MODEL Workspace: A web-based environment for protein structure homology modelling

by Konstantin Arnold, Lorenza Bordoli, Torsten Schwede, et al. - BIOINFORMATICS , 2005
"... Motivation: Homology models of proteins are of great interest for planning and analyzing biological experiments when no experimental three-dimensional structures are available. Building homology models requires specialized programs and up-to-date sequence and structural databases. Integrating all re ..."
Abstract - Cited by 555 (5 self) - Add to MetaCart
required tools, programs and databases into a single web-based workspace facilitates access to homology modelling from a computer with web connection without the need of downloading and installing large program packages and databases. Results: SWISS-MODEL Workspace is a web-based integrated service

Model Theory

by Wilfrid Hodges , 2000
"... ..."
Abstract - Cited by 748 (4 self) - Add to MetaCart
Abstract not found

Graphical models, exponential families, and variational inference

by Martin J. Wainwright, Michael I. Jordan , 2008
"... The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate statistical models. Graphical models have become a focus of research in many statistical, computational and mathematical fiel ..."
Abstract - Cited by 800 (26 self) - Add to MetaCart
of probability distributions — are best studied in the general setting. Working with exponential family representations, and exploiting the conjugate duality between the cumulant function and the entropy for exponential families, we develop general variational representations of the problems of computing

Shape modeling with front propagation: A level set approach

by Ravikanth Malladi, James A. Sethian, Baba C. Vemuri - IEEE Transactions on Pattern Analysis and Machine Intelligence , 1995
"... Abstract- Shape modeling is an important constituent of computer vision as well as computer graphics research. Shape models aid the tasks of object representation and recognition. This paper presents a new approach to shape modeling which re-tains some of the attractive features of existing methods ..."
Abstract - Cited by 804 (20 self) - Add to MetaCart
Abstract- Shape modeling is an important constituent of computer vision as well as computer graphics research. Shape models aid the tasks of object representation and recognition. This paper presents a new approach to shape modeling which re-tains some of the attractive features of existing methods

Evaluating the Accuracy of Sampling-Based Approaches to the Calculation of Posterior Moments

by John Geweke - IN BAYESIAN STATISTICS , 1992
"... Data augmentation and Gibbs sampling are two closely related, sampling-based approaches to the calculation of posterior moments. The fact that each produces a sample whose constituents are neither independent nor identically distributed complicates the assessment of convergence and numerical accurac ..."
Abstract - Cited by 583 (14 self) - Add to MetaCart
accuracy of the approximations to the expected value of functions of interest under the posterior. In this paper methods from spectral analysis are used to evaluate numerical accuracy formally and construct diagnostics for convergence. These methods are illustrated in the normal linear model
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