Parcourir par sujet "Free parameters"

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Look-behind fully convolutional neural network for computer-aided endoscopy

Diamantis D.E., Iakovidis D.K., Koulaouzidis A. (2019)

In this paper, we propose a novel Fully Convolutional Neural Network (FCN) architecture aiming to aid the detection of abnormalities, such as polyps, ulcers and blood, in gastrointestinal (GI) endoscopy images. The proposed ...
Structural damage identification using a Bayesian model selection framework

Papadimitriou, C.; Papadioti, D. C.; Ntotsios, E. (2010)

A Bayesian model class selection and updating framework is used for identifying the location and size of damage in a structure utilizing measured dynamic data. The framework consists of a two-level approach. At the first ...