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» Predicting Nucleolar Proteins Using Support-Vector Machines
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111
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ECML
2005
Springer
15 years 9 months ago
Rotational Prior Knowledge for SVMs
Incorporation of prior knowledge into the learning process can significantly improve low-sample classification accuracy. We show how to introduce prior knowledge into linear supp...
Arkady Epshteyn, Gerald DeJong
141
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ESANN
2006
15 years 5 months ago
LS-SVM functional network for time series prediction
Usually time series prediction is done with regularly sampled data. In practice, however, the data available may be irregularly sampled. In this case the conventional prediction me...
Tuomas Kärnä, Fabrice Rossi, Amaury Lend...
103
Voted
ACL
2009
15 years 1 months ago
A Ranking Approach to Stress Prediction for Letter-to-Phoneme Conversion
Correct stress placement is important in text-to-speech systems, in terms of both the overall accuracy and the naturalness of pronunciation. In this paper, we formulate stress ass...
Qing Dou, Shane Bergsma, Sittichai Jiampojamarn, G...
124
Voted
ICPR
2008
IEEE
16 years 4 months ago
Multiple classifier applied on predicting microsleep from speech
The aim of this study is to apply a state-of-the-art speech emotion recognition engine on the detection of microsleep endangered sleepiness states. Current approaches in speech em...
Jarek Krajewski, Anton Batliner, Rainer Wieland
106
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ICPR
2006
IEEE
16 years 4 months ago
Texture-Constrained Shape Prediction for Mouth Contour Extraction and its State Estimation
In this paper, we present an automatic mouth contour and state estimation system. An efficient mouth contour extraction algorithm is proposed under the framework of Active Shape M...
Zhaorong Li, Haizhou Ai