Strangeness enhancement at mid-rapidity in Pb-Pb collisions at 158 A GeV/c
E Andersen, F Antinori, N Armenise… - Journal of Physics G …, 1999 - iopscience.iop.org
Abstract KS 0, Λ, Ξ, Ω and negative particle h− yields and transverse mass spectra,
measured at central rapidity in p-Pb and Pb-Pb collisions at 158 A GeV/c, are presented and …
measured at central rapidity in p-Pb and Pb-Pb collisions at 158 A GeV/c, are presented and …
A New Fuzzy Connectivity Measure for Fuzzy Sets: And Associated Fuzzy Attribute Openings
Fuzzy set theory constitutes a powerful representation framework that can lead to more
robustness in problems such as image segmentation and recognition. This robustness …
robustness in problems such as image segmentation and recognition. This robustness …
Beating C in Scientific Computing Applications On the Behavior and Performance of LISP, Part 1
DE Verna - ELW 2006 third European Lisp Workshop, 2006 - hal.science
This paper presents an ongoing research on the behavior and performance of LISP with
respect to C in the context of scientific numerical computing. Several simple image …
respect to C in the context of scientific numerical computing. Several simple image …
Modèles structurels flous et propagation de contraintes pour la segmentation et la reconnaissance d'objets dans les images: Application aux structures normales et …
O Nempont - 2009 - pastel.hal.science
Résumé Le cerveau présente une structure complexe. La segmentation et la
reconnaissance automatique de ses sous-structures dans des IRM cérébrales est délicate et …
reconnaissance automatique de ses sous-structures dans des IRM cérébrales est délicate et …
Détection de structures fines par traitement d'images et apprentissage statistique: application au contrôle non destructif
V Morard - 2012 - pastel.hal.science
Dans cette thèse, nous présentons de nouvelles méthodes de traitement d'images
pourextraire ou rehausser les éléments fins d'une image. Pour ces opérateurs, issus de la …
pourextraire ou rehausser les éléments fins d'une image. Pour ces opérateurs, issus de la …
[PDF][PDF] Spectral-spatial classification of n-dimensional images in real-time based on segmentation and mathematical morphology on GPUs
PQ Barriuso, DB Heras, FA Pedreira - 2015 - core.ac.uk
In this chapter we present the two schemes we proposed for efficient spectral-spatial nD
image classification, based on segmentation, Mathematical Morphology (MM), and SVM …
image classification, based on segmentation, Mathematical Morphology (MM), and SVM …
[PDF][PDF] l'École nationale supérieure des mines de Paris
V MORARD - 2012 - core.ac.uk
Résumé Détection de structures fines par traitement d'images et apprentissage statistique:
application au contrôle non destructif Résumé: h ns ette thèseD nous présentons de …
application au contrôle non destructif Résumé: h ns ette thèseD nous présentons de …
[PDF][PDF] Olivier NEMPONT
C Ronse, G Malandain - pastel.hal.science
The anatomy of brain is complex. Therefore the fully automatic segmentation and
recognition of its relevant subparts in brain MRI is a challenging task. It is usually done using …
recognition of its relevant subparts in brain MRI is a challenging task. It is usually done using …
[PDF][PDF] Uso de Árvore de Componentes para Filtragem, Segmentação e Detecção de Padrões em Imagens Digitais
R de Alencar Lotufo-UNICAMP - 2009 - repositorio.unicamp.br
Uma imagem em níveis de cinza pode ser interpretada como uma superfície topográfica e
representada por uma árvore de componentes, baseada na relação de inclusão de regiões …
representada por uma árvore de componentes, baseada na relação de inclusão de regiões …
[IDÉZET][C] Spectral-spatial classification of n-dimensional images in real-time based on segmentation and mathematical morphology on GPUs
P Quesada Barriuso - 2015