Document images can be affected by many degradation scenarios, which cause recognition
and processing difficulties. In this age of digitization, it is important to denoise them for …

Non-local means (NLM) remove noise from an image by a weighted average process. Its
distinctive feature is that the weight of a pixel depends on the similarity between two image …

Background: Cardiovascular magnetic resonance (CMR) can provide precise quantitative
information on tissue and blood motion, which enables assessment of mechanical function …

In this paper, we introduce a notion of spatial redundancy in Gaussian random fields. This
study is motivated by applications of the a contrario method in image processing. We define …

In this paper, we introduce a notion of spatial redundancy in Gaussian random fields. This
study is motivated by applications of the a contrario method in image processing. We define …

Determinantal point processes (DPPs in short) are probabilistic models that capture
negative correlations or repulsion within a set of elements. They tend to generate diverse or …

Based [ABG+13c, ACSW12, AT11, BS21b, BQ22, BAA14, BPP22, BCP13a, BS15, BH12,
BH15a, BH15b, BEFL21, COS09, CCMS13, CTM+24, CGMP11, CLL11, CTY13, CTWY15 …

Datorită creșterii fără precedent a volumelor de date vehiculate în telecomunicații,
înregistrată la începutul mileniului 3, tehnologia Data Mining este utilizată tot mai frecvent în …

Résumé Les processus ponctuels déterminantaux (Determinantal Point Processes ou DPP
en anglais) sont des modèles probabilistes qui modélisent les corrélations négatives ou la …