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» Graph model selection using maximum likelihood
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JMIV
2007
145views more  JMIV 2007»
13 years 8 months ago
Level Lines Selection with Variational Models for Segmentation and Encoding
Abstract. This paper discusses the interest of the Tree of Shapes of an image as a region oriented image representation. The Tree of Shapes offers a compact and structured represen...
Coloma Ballester, Vicent Caselles, Laura Igual, Ll...
ISSS
1997
IEEE
102views Hardware» more  ISSS 1997»
14 years 1 months ago
An Efficient Model for DSP Code Generation: Performance, Code Size, Estimated Energy
This paper presents a model for simultaneous instruction selection, compaction, and register allocation. An arc mapping model along with logical propositions is used to create an ...
Catherine H. Gebotys
ICIP
2004
IEEE
14 years 10 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte
ICASSP
2011
IEEE
13 years 17 days ago
Estimation of cortical connectivity from E/MEG using nonlinear state-space models
We present the problem of estimating cortical connectivity between different regions of the cortex from scalp electroencephalographic (EEG) or magnetoencephalographic (MEG) data a...
Bing Leung, Patrick Cheung, Barry D. Van Veen
ICASSP
2011
IEEE
13 years 17 days ago
Acoustic model training for non-audible murmur recognition using transformed normal speech data
In this paper we present a novel approach to acoustic model training for non-audible murmur (NAM) recognition using normal speech data transformed into NAM data. NAM is extremely ...
Denis Babani, Tomoki Toda, Hiroshi Saruwatari, Kiy...