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Protocole sur les outils de reconnaissance optimisés Manche Atlantique. Action 9 - FlowCam ZooPhytoImage. Livrable n° 2. Rapport final ArchiMer
Wacquet, Guillaume; Lefebvre, Alain.
The FlowCAM/ZooPhytoImage tool is composed of FlowCAM device for digitizing the images of phytoplanktonic particles and ZooPhytoImage software that can automatically identify and count phytoplankton from these images. The latter is a software for image processing and automatic classification, based on the principle of "machine learning". It allows to realize the different steps of the process that leads to the automatic or semi-automatic classification of a set of objects from a given set of images, using supervised learning algorithms. For this, it is necessary to perform a training set composed of images from FlowCAM, representative of particles encountered in the samples to be analyzed later and make an automatic or semiautomatic recognition tool using...
Tipo: Text Palavras-chave: Reconnaissance automatique; Set d'apprentissage; Classification supervisée; Validation croisée; Optimisation d'outils.; Automatic recognition; Training set; Supervised classification; Cross validation; Optimization of tools..
Ano: 2014 URL: http://archimer.ifremer.fr/doc/00363/47437/47463.pdf
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Exploring the use of variable bandwidth kernel density estimators AgEcon
Salgado-Ugarte, Isaias H.; Perez-Hernandez, Marco A..
Variable bandwidth kernel density estimators increase the window width at low densities and decrease it where data concentrate. This represents an improvement over the fixed bandwidth kernel density estimators. In this article, we explore the use of one implementation of a variable kernel estimator in conjunction with several rules and procedures for bandwidth selection applied to several real datasets. The considered examples permit us to state that when working with tens or a few hundreds of data observations, least-squares cross-validation bandwidth rarely produces useful estimates; with thousands of observations, this problem can be surpassed. Optimal bandwidth and biased cross-validation (BCV), in general, oversmooth multimodal densities. The...
Tipo: Journal Article Palavras-chave: Kernel density estimation; Bandwidth; Cross validation; Multimodality test; Research Methods/ Statistical Methods.
Ano: 2003 URL: http://purl.umn.edu/116063
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