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» Training of Classifiers Using Virtual Samples Only
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TIT
2010
118views Education» more  TIT 2010»
13 years 3 months ago
Joint sampling distribution between actual and estimated classification errors for linear discriminant analysis
Error estimation must be used to find the accuracy of a designed classifier, an issue that is critical in biomarker discovery for disease diagnosis and prognosis in genomics and p...
Amin Zollanvari, Ulisses Braga-Neto, Edward R. Dou...
AAAI
2006
13 years 10 months ago
A Direct Evolutionary Feature Extraction Algorithm for Classifying High Dimensional Data
Among various feature extraction algorithms, those based on genetic algorithms are promising owing to their potential parallelizability and possible applications in large scale an...
Qijun Zhao, David Zhang, Hongtao Lu
PRL
2007
166views more  PRL 2007»
13 years 8 months ago
Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scene
In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
Sergio Escalera, Oriol Pujol, Petia Radeva
ICMCS
2006
IEEE
101views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Emotional Speech Synthesis using Subspace Constraints in Prosody
An efficient speech synthesis method that uses subspace constraint in prosody is proposed. Conventional unit selection methods concatenate speech segments stored in database, tha...
Shinya Mori, Tsuyoshi Moriyama, Shinji Ozawa
ICPR
2008
IEEE
14 years 10 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