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Adaptive binarization based on fuzzy integrals
This document presents a new adaptive binarization technique based on fuzzy integral images through an efficient design of a modified SAT for fuzzy integrals.
Deep Learning in Video Multi-Object Tracking: A Survey
The problem of Multiple Object Tracking (MOT) consists in following the trajectory of different objects in a sequence, usually a video.
On Feature Reduction using Deep Learning for Trend Prediction in Finance
One of the major advantages in using Deep Learning for Finance is to embed a large collection of information into investment decisions.
Matching Media Contents with User Profiles by means of the Dempster-Shafer Theory
The media industry is increasingly personalizing the offering of contents in attempt to better target the audience.
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