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BMCBI
2006
119views more  BMCBI 2006»
15 years 22 days ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
89
Voted
ICRA
2006
IEEE
86views Robotics» more  ICRA 2006»
15 years 6 months ago
The Statistical Dynamics of Programmed Self-assembly
Abstract— We describe how a graph grammar program for robotic self-assembly, together with measurements of kinetic rate data yield a Markov Process model of the dynamics of progr...
Nils Napp, Samuel Burden, Eric Klavins
98
Voted
ICIP
2005
IEEE
16 years 2 months ago
A dynamic Bezier curve model
Bezier curves (BC) are fundamental to a wide range of applications from computer-aided design through to object shape descriptions and surface mapping. Since BC only consider glob...
Ferdous Ahmed Sohel, Laurence S. Dooley, Gour C. K...
3DIM
2007
IEEE
15 years 7 months ago
Tracking of Human Body Parts using the Multiocular Contracting Curve Density Algorithm
In this contribution we introduce the Multiocular Contracting Curve Density algorithm (MOCCD), a novel method for fitting a 3D parametric curve. The MOCCD is integrated into a tr...
Markus Hahn, Lars Krüger, Christian Wöhl...
BPM
2008
Springer
133views Business» more  BPM 2008»
15 years 2 months ago
Auto-completion for Executable Business Process Models
This work presents an auto-completion mechanism for supporting the creation of executable business process models. Currently, process modeling tools provide only little support to ...
Matthias Born, Christian Brelage, Ivan Markovic, D...