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ICASSP
2011
IEEE
13 years 22 days ago
On selecting the hyperparameters of the DPM models for the density estimation of observation errors
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
Asma Rabaoui, Nicolas Viandier, Juliette Marais, E...
SBP
2012
Springer
12 years 4 months ago
The Impact of Network Structure on the Perturbation Dynamics of a Multi-agent Economic Model
Complex adaptive systems (CAS) modeling has become a common tool to study the behavioral dynamics of agents in a broad range of disciplines from ecology to economics. Many modelers...
Marshall A. Kuypers, Walter E. Beyeler, Robert J. ...
DATE
2002
IEEE
166views Hardware» more  DATE 2002»
14 years 2 months ago
Event Model Interfaces for Heterogeneous System Analysis
Complex embedded systems consist of hardware and software components from different domains, such as control and signal processing, many of them supplied by different IP vendors. ...
Kai Richter, Rolf Ernst
ICIP
2008
IEEE
14 years 10 months ago
Using sensor pattern noise for camera model identification
Sensor photo-response non-uniformity (PRNU) was introduced by Luk?as et al. [1] to solve the problem of digital camera sensor identification. The PRNU is the main component of a c...
Jessica J. Fridrich, Miroslav Goljan, Tomás...
MICCAI
2004
Springer
14 years 10 months ago
Learning Coupled Prior Shape and Appearance Models for Segmentation
We present a novel framework for learning a joint shape and appearance model from a large set of un-labelled training examples in arbitrary positions and orientations. The shape an...
Xiaolei Huang, Zhiguo Li, Dimitris N. Metaxas