Search
Now showing items 1-10 of 356
Feature evaluation for unsupervised bioacoustic signal segmentation of anuran calls
(Pergamon-Elsevier Science Ltd, 2018-09)
We present a comprehensive study of temporal Low-Level acoustic Descriptors (LLDs) to automatically segment anuran calls in audio streams. The acoustic segmentation, or syllable extraction, is a key task shared by most of ...
Segmentation of central nervous system tumor images with neural networks
(Facultad Experimental de Ciencias de la Universidad del Zulia, 2011)
Left ventricle segmentation using a Bayesian approach with distance dependent shape priors
(IOP Publishing, 2020-05-28)
We propose a method for segmentation of the left ventricle in magnetic resonance cardiac images. The framework consists of an initial Bayesian segmentation of the central slice of the volume. This segmentation is used to ...
Performance Analysis of the Segment Transfer Rate of TCP-UEM
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2019)
Market segmentation by psychographic criterio : an essay on the main psychographic theoretical approaches and its relationship with performance criteria
(Universidad Nacional de Misiones. Facultad de Ciencias Económicas. Programa de Posgrado en Administración, 2014-12-19)
This article is a theoretical essay that has the overall aim to identify and analyze the most striking features of the criterion of market segmentation through psychographic, and to establish a parallel between behavioral ...
Diphenylanthrylene and diphenylfluorene-based segmented conjugated polymer films as fluorescent chemosensors for nitroaromatics in aqueous solution
(Elsevier Science Sa, 2014-11)
A new regularly segmented conjugated polymer with diphenylanthryl chromophores bearing oxyethylene side chains was synthesized. The amorphous polymer was solution-processable. The formation of aggregated species in solid ...
Multithresholding techniques in SAR image classification
(Elsevier Science, 2021-08)
Beyond bilevel segmentation, multithresholding (MT) is a powerful technique that is seldom considered in image analysis. In active imaging techniques, however, MT appears as a significant alternative due to its obliviousness ...
Geometric modelling of heterogeneous and complex foods
(Elsevier, 2010-04)
A procedure to obtain realistic geometric models of foods having different inner tissues or sub–regions is developed. The proposed methodology consists in colour segmentation of food images using a distance criterion, ...
Fractal properties and critical exponents in tumor
(Facultad Experimental de Ciencias de la Universidad del Zulia, 2011)
Automatic design of aperture filters using neural networks applied to ocular image segmentation
(European Association for Signal Processing, 2014-09)
Aperture filters are image operators which combine mathematical morphology and pattern recognition theory to design windowed classifiers. Previous works propose designing and representing such operators using large decision ...