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» Behavioural Models for Hierarchical Components
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ICASSP
2009
IEEE
15 years 6 months ago
Fast bayesian compressive sensing using Laplace priors
In this paper we model the components of the compressive sensing (CS) problem using the Bayesian framework by utilizing a hierarchical form of the Laplace prior to model sparsity ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
ISSTA
2004
ACM
15 years 5 months ago
Automating commutativity analysis at the design level
Two operations commute if executing them serially in either order results in the same change of state. In a system in which commands may be issued simultaneously by different use...
Greg Dennis, Robert Seater, Derek Rayside, Daniel ...
CGF
2004
97views more  CGF 2004»
14 years 11 months ago
Implicit Visualization and Inverse Modeling of Growing Trees
A method is proposed for photo-realistic modeling and visualization of a growing tree. Recent visualization methods have focused on producing smoothly blending branching structure...
Callum Galbraith, Lars Mündermann, Brian Wyvi...
BMCBI
2010
165views more  BMCBI 2010»
14 years 12 months ago
Bayesian integrated modeling of expression data: a case study on RhoG
Background: DNA microarrays provide an efficient method for measuring activity of genes in parallel and even covering all the known transcripts of an organism on a single array. T...
Rashi Gupta, Dario Greco, Petri Auvinen, Elja Arja...
PR
2008
124views more  PR 2008»
14 years 11 months ago
A daily behavior enabled hidden Markov model for human behavior understanding
This paper presents a Hierarchical Context Hidden Markov Model (HC-HMM) for behavior understanding from video streams in a nursing center. The proposed HC-HMM infers elderly behav...
Pau-Choo Chung, Chin-De Liu