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ICASSP
2010
IEEE
15 years 6 months ago
Direct importance estimation with probabilistic principal component analyzers
The importance estimation problem (estimating the ratio of two probability density functions) has recently gathered a great deal of attention for use in various applications, e.g....
Makoto Yamada, Masashi Sugiyama, Gordon Wichern
ICASSP
2010
IEEE
15 years 6 months ago
Statistical inference for single- and multi-band Probabilistic Amplitude Demodulation
Amplitude demodulation is an ill-posed problem and so it is natural to treat it from a Bayesian viewpoint, inferring the most likely carrier and envelope under probabilistic const...
Richard E. Turner, Maneesh Sahani
ICASSP
2010
IEEE
15 years 6 months ago
Learning with synthesized speech for automatic emotion recognition
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Bjoern Schuller, Felix Burkhardt
ICDE
2010
IEEE
214views Database» more  ICDE 2010»
15 years 6 months ago
The Entity Name System: Enabling the web of entities
— We are currently witnessing an increasing interest in the use of the web as an information and knowledge source. Much of the information sought after in the web is in this case...
Heiko Stoermer, Themis Palpanas, George Giannakopo...
CDC
2008
IEEE
115views Control Systems» more  CDC 2008»
15 years 6 months ago
Ensemble-on-demand Kalman filter for large-scale systems with time-sparse measurements
The ensemble Kalman filter for data assimilation involves the propagation of a collection of ensemble members. Under the assumption of time-sparse measurements, we avoid propagatin...
In Sung Kim, Bruno Otávio Soares Teixeira, ...
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