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» Combining Gaussian Mixture Models
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112
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ICASSP
2011
IEEE
14 years 6 months ago
Mixture Kalman filtering for joint carrier recovery and channel estimation in time-selective Rayleigh fading channels
This paper proposes a new blind algorithm, based on Mixture Kalman Filtering (MKF), for joint carrier recovery and channel estimation in time-selective Rayleigh fading channels. M...
Ali A. Nasir, Salman Durrani, Rodney A. Kennedy
ICCV
2003
IEEE
16 years 4 months ago
Maintaining Multi-Modality through Mixture Tracking
In recent years particle filters have become a tremendously popular tool to perform tracking for non-linear and/or non-Gaussian models. This is due to their simplicity, generality...
Arnaud Doucet, Jaco Vermaak, Patrick Pérez
133
Voted
QRE
2008
140views more  QRE 2008»
15 years 2 months ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...
141
Voted
ISBI
2004
IEEE
16 years 3 months ago
A Probabilistic Framework for the Detection and Tracking in Time of Multiple Sclerosis Lesions
A novel statistical scheme for the automatic detection and tracking in time of relapsing-remitting multiple sclerosis (MS) lesions in image sequences is described. Coherent space-...
Allon Shahar, Hayit Greenspan
135
Voted
KES
2000
Springer
15 years 6 months ago
Genetically optimised feedforward neural networks for speaker identification
The problem of establishing the identity of a speaker from a given utterance has been conventionally addressed using techniques such as Gaussian Mixture Models (GMM's) that m...
Richard C. Price, Jonathan P. Willmore, William J....