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» Temporal Data Classification Using Linear Classifiers
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SIBGRAPI
2008
IEEE
15 years 8 months ago
Crop Type Recognition Based on Hidden Markov Models of Plant Phenology
This work introduces a Hidden Markov Model (HMM) based technique to classify agricultural crops. The method recognizes different crops by analyzing their spectral profiles over a ...
P. B. C. Leite, Raul Queiroz Feitosa, A. R. Formag...
MMAS
2010
Springer
14 years 9 months ago
A Novel Method for Solving Multiscale Elliptic Problems with Randomly Perturbed Data
We propose a method for efficient solution of elliptic problems with multiscale features and randomly perturbed coefficients. We use the multiscale finite element method (MsFEM) as...
Victor Ginting, Axel Målqvist, Michael Presh...
APIN
2010
108views more  APIN 2010»
15 years 2 months ago
A low variance error boosting algorithm
Abstract. This paper introduces a robust variant of AdaBoost, cwAdaBoost, that uses weight perturbation to reduce variance error, and is particularly effective when dealing with da...
Ching-Wei Wang, Andrew Hunter
HIS
2008
15 years 3 months ago
CBR System for Diagnosis of Patients
Microarray technology allows to measure the expression levels of thousands of genes in an experiment. The use of computational methods is fundamental in cancer research. One of th...
Juan Francisco de Paz, Sara Rodríguez, Javi...
ICPR
2010
IEEE
15 years 8 days ago
Automatically Detecting Peaks in Terahertz Time-Domain Spectroscopy
To classify spectroscopic measurements it is necessary to have comparable methods of evaluation. In Terahertz (THz) time-domain spectroscopy, as a new technology, neither the pres...
Henrike Stephani, Joachim Jonuscheit, Christoph Ro...