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TMI
2010
182views more  TMI 2010»
13 years 6 months ago
A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
Seyoung Kim, Padhraic Smyth, Hal S. Stern
ICASSP
2011
IEEE
12 years 11 months ago
A simplified Subspace Gaussian Mixture to compact acoustic models for speech recognition
Speech recognition applications are known to require a significant amount of resources (memory, computing power). However, embedded speech recognition systems, such as in mobile p...
Mohamed Bouallegue, Driss Matrouf, Georges Linares
ICIP
2009
IEEE
14 years 9 months ago
Joint Recovery And Segmentation Of Polarimetric Images Using A Compound Mrf And Mixture Modeling
We propose a new approach for the restoration of polarimetric Stokes images, capable of simultaneously segmenting and restoring the images. In order to easily handle the admissibi...
ICANN
2005
Springer
14 years 1 months ago
An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval
Abstract. In this paper we propose a new distance metric for probability density functions (PDF). The main advantage of this metric is that unlike the popular Kullback-Liebler (KL)...
Giorgos Sfikas, Constantinos Constantinopoulos, Ar...
ISMIR
2004
Springer
125views Music» more  ISMIR 2004»
14 years 1 months ago
Gaussian Mixture Models For Extraction Of Melodic Lines From Audio Recordings
The presented study deals with extraction of melodic line(s) from polyphonic audio recordings. We base our work on the use of expectation maximization algorithm, which is employed...
Matija Marolt