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» Hierarchical Gaussian Mixture Model
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NIPS
2004
13 years 9 months ago
Parametric Embedding for Class Visualization
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean S...
ICAI
2004
13 years 9 months ago
A User Centered Evolutionary Scheduling Framework
The need for supporting CSCW applications with heterogeneous and varying user requirements call for adaptive and reconfigurable schedulers accommodating a mixture of real-time, pro...
Horst Wedde, Muddassar Farooq, Mario Lischka
ICIP
2005
IEEE
14 years 9 months ago
Variational segmentation of color images
A variational Bayesian framework is employed in the paper for image segmentation using color clustering. A Gaussian mixture model is used to represent color distributions. Variati...
Nikolaos Nasios, Adrian G. Bors
ICASSP
2009
IEEE
14 years 2 months ago
Detecting real life anger
Acoustic anger detection in voice portals can help to enhance human computer interaction. A comprehensive voice portal data collection has been carried out and gives new insight o...
Felix Burkhardt, Tim Polzehl, Joachim Stegmann, Fl...
ICASSP
2008
IEEE
14 years 2 months ago
Voice source cepstrum coefficients for speaker identification
We propose a novel feature set for speaker recognition that is based on the voice source signal. The feature extraction process uses closed-phase LPC analysis to estimate the voca...
Jon Gudnason, Mike Brookes