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» Hierarchical Gaussian Mixture Model
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NIPS
2004
15 years 5 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
15 years 5 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
16 years 5 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
15 years 10 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
15 years 10 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