922 search results - page 77 / 185 » Learning Gaussian Process Models from Uncertain Data |
158
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
Emotion recognition from speech plays an important role in developing affective and intelligent systems. This study investigates sentence-level emotion recognition. We propose to ...
164
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JFR
2006
15 years 6 months ago
2006
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...
170
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UAI
2004
15 years 7 months ago
2004
We propose dynamical systems trees (DSTs) as a flexible model for describing multiple processes that interact via a hierarchy of aggregating processes. DSTs extend nonlinear dynam...
168
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NIPS
2007
15 years 7 months ago
2007
Natural sounds are structured on many time-scales. A typical segment of speech, for example, contains features that span four orders of magnitude: Sentences (∼1 s); phonemes (âˆ...
197
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PAMI
2008
15 years 6 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...