181 search results - page 12 / 37 » Gaussian mixture modeling for source localization |
145
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NIPS
1994
15 years 5 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
158
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TCSV
2008
15 years 3 months ago
2008
This paper presents a bottom-up approach that combines audio and video to simultaneously locate individual speakers in the video (2-D source localization) and segment their speech ...
168
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ICIP
2009
IEEE
15 years 1 months ago
2009
IEEE
The Expectation-Maximization (EM) algorithm is a popular tool in statistical estimation problems involving incomplete data or in problems which can be posed in a similar form, suc...
138
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ICASSP
2011
IEEE
14 years 8 months ago
2011
IEEE
Localization and classification of acoustic signals in a complex auditory scene is an every day task of the human auditory system. However, this problem presents a significant c...
158
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PAMI
2008
15 years 4 months ago
2008
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...