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ANOR
2007
108views more  ANOR 2007»
13 years 10 months ago
Towards a practical engineering tool for rostering
The profitability and morale of many organizations (such as factories, hospitals and airlines) are affected by their ability to schedule their personnel properly. Sophisticated an...
Edward P. K. Tsang, John A. Ford, Patrick Mills, R...
NC
2006
132views Neural Networks» more  NC 2006»
13 years 9 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
TASLP
2008
154views more  TASLP 2008»
13 years 9 months ago
Capturing Local Variability for Speaker Normalization in Speech Recognition
The new model reduces the impact of local spectral and temporal variability by estimating a finite set of spectral and temporal warping factors which are applied to speech at the f...
Antonio Miguel, Eduardo Lleida, Richard Rose, Luis...
CLEIEJ
2004
119views more  CLEIEJ 2004»
13 years 9 months ago
Pump Scheduling Optimization Using Asynchronous Parallel
Optimizing the pump-scheduling is an interesting proposal to achieve cost reductions in water distribution pumping stations. As systems grow, pump-scheduling becomes a very diffic...
Christian von Lücken, Benjamín Bar&aac...
TKDE
1998
102views more  TKDE 1998»
13 years 9 months ago
Fast and Effective Retrieval of Medical Tumor Shapes
—We investigate the problem of retrieving similar shapes from a large database; in particular, we focus on medical tumor shapes (“Find tumors that are similar to a given patter...
Flip Korn, Nikolaos Sidiropoulos, Christos Falouts...