• Aucun résultat trouvé

Image classification using Markov random fields with two new relaxation methods : deterministic pseudo annealing and modified metropolis dynamics

N/A
N/A
Protected

Academic year: 2021

Partager "Image classification using Markov random fields with two new relaxation methods : deterministic pseudo annealing and modified metropolis dynamics"

Copied!
21
0
0

Texte intégral

Références

Documents relatifs

– Our two central assumptions (Gaussian mixture model calculated separately on different contexts and only in background images) can slightly improve the foreground/background ratio

When the increments (X n ) n∈ N are defined as a one-order Markov chain, a short memory in the dynamics of the stochastic paths is introduced: the process is called in the

(37) C’est ce que l’ancien Pre´sident du Tribunal constitutionnel espagnol relevait re´cemment. S’il peut exister a` intervalles re´guliers des « tensions occasionnelles » entre

Our method is based on the work of Lauder and Vonk on computing the reverse characteristic series of the U p -operator on overconvergent modular forms.. Using higher derivatives of

REPUBLIQUE ALGERIENNE DEMOCRATIQUE ET POPULAIRE MINISTERE DE L’ENSEIGNEMENT SUPERIEUR ET DE LA

We measure the ring form factor at θ- and good-solvent conditions as well as in a polymeric solvent (linear PS of roughly comparable molar mass) by means of small-angle

Indeed, CF does express inflammatory markers (IL-6, MCP-1, F4/80) but not typical adipose tissue markers (perilipin, HSL, leptin, adiponectin) and does not store triglycerides. The

118 µ: A partir du moment où on reconnaît que ce cas particulier vérifie l'hypothèse, ne vérifie pas la conclusion, si on ne veut pas tout le temps revenir en