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ICASSP
2010
IEEE
15 years 7 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 7 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 7 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, ...
ANOR
2010
75views more  ANOR 2010»
15 years 7 months ago
A new methodology for studying the equity premium
This paper provides a new framework for the derivation and estimation of consumption and the equity premium functions. The novelty in our approach is that it does not require the ...
Elie Appelbaum, Parantap Basu
ANOR
2008
93views more  ANOR 2008»
15 years 7 months ago
Pruning in column generation for service vehicle dispatching
Abstract Column generation techniques have become a widely used technique to successfully solve large (integer) linear programs. One of the keys to obtaining a practically efficien...
Stephan Westphal, Sven Oliver Krumke
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