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» Embedding Heterogeneous Data Using Statistical Models
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ISCAS
2005
IEEE
141views Hardware» more  ISCAS 2005»
14 years 1 months ago
Image compression using texture modeling
Abstract— We consider the problem of improving the performance of multiwavelets-based image coders through texture parametrization. Texture parametrization is designed to achieve...
Lahouari Ghouti, Ahmed Bouridane, Mohammad K. Ibra...
EMSOFT
2004
Springer
14 years 1 months ago
Conservative approximations for heterogeneous design
Embedded systems are electronic devices that function in the context of a real environment, by sensing and reacting to a set of stimuli. Because of their close interaction with th...
Roberto Passerone, Jerry R. Burch, Alberto L. Sang...
BMCBI
2008
179views more  BMCBI 2008»
13 years 7 months ago
Bayesian modeling of recombination events in bacterial populations
Background: We consider the discovery of recombinant segments jointly with their origins within multilocus DNA sequences from bacteria representing heterogeneous populations of fa...
Pekka Marttinen, Adam Baldwin, William P. Hanage, ...
JMLR
2002
138views more  JMLR 2002»
13 years 7 months ago
Learning Probabilistic Models of Link Structure
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
DATE
2003
IEEE
122views Hardware» more  DATE 2003»
14 years 27 days ago
A General Framework for Analysing System Properties in Platform-Based Embedded System Designs
We present a framework (Real-Time Calculus) for analysing various system properties pertaining to timing analysis, loads on various components and on-chip buffer memory requiremen...
Samarjit Chakraborty, Simon Künzli, Lothar Th...