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JMLR
2008
209views more  JMLR 2008»
13 years 7 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
ICHIT
2009
Springer
13 years 5 months ago
Design and implementation of a live-analysis digital forensic system
As the popularity of the internet continues growing, not only change our life, but also change the way of crime. Number of crime by computer as tools, place or target, cases of su...
Pei-Hua Yen, Chung-Huang Yang, Tae-Nam Ahn
AOSD
2011
ACM
12 years 11 months ago
Applying dependability aspects on top of "aspectized" software layers
Dynamic platforms where components can be loaded at runtime can introduce risks to applications stability if components are not previously known before deployment. It may be neede...
Kiev Gama, Didier Donsez
BMCBI
2007
117views more  BMCBI 2007»
13 years 7 months ago
DNA-based watermarks using the DNA-Crypt algorithm
Background: The aim of this paper is to demonstrate the application of watermarks based on DNA sequences to identify the unauthorized use of genetically modified organisms (GMOs) ...
Dominik Heider, Angelika Barnekow
ICASSP
2011
IEEE
12 years 11 months ago
Collaborative sources identification in mixed signals via hierarchical sparse modeling
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on CHiLasso, a convex collaborative hierarchical s...
Pablo Sprechmann, Ignacio Ramírez, Pablo Ca...