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DSP
2007
13 years 8 months ago
Variational and stochastic inference for Bayesian source separation
We tackle the general linear instantaneous model (possibly underdetermined and noisy) where we model the source prior with a Student t distribution. The conjugate-exponential char...
Ali Taylan Cemgil, Cédric Févotte, S...
CIARP
2007
Springer
14 years 2 months ago
Range and Intensity Vision for Rock-Scene Segmentation
Abstract. This paper presents a methodology for the automatic segmentation of rock-scenes using a combination of range and intensity vision. A major problem in rock scene segmentat...
Simphiwe Mkwelo, Fred Nicolls, Gerhard de Jager
SAINT
2007
IEEE
14 years 2 months ago
A System to Test the Performance of RFID-Tagged Objects
A system is described which has been developed to assess how well RFID-tagged products can be read with various positionings of the tag on the product face. The system can search ...
Hugo Mallinson, Steve Hodges, Alan Thorne
CVPR
2008
IEEE
14 years 10 months ago
Kernel-based learning of cast shadows from a physical model of light sources and surfaces for low-level segmentation
In background subtraction, cast shadows induce silhouette distortions and object fusions hindering performance of high level algorithms in scene monitoring. We introduce a nonpara...
André Zaccarin, Nicolas Martel-Brisson
DATE
2010
IEEE
163views Hardware» more  DATE 2010»
14 years 1 months ago
A methodology for the characterization of process variation in NoC links
—Associated with the ever growing integration scales is the increase in process variability. In the context of networkon-chip, this variability affects the maximum frequency that...
Carles Hernandez, Federico Silla, José Duat...