Extraction de connaissances à partir de données non structurées du projet LitCovid en utilisant MongoDB pour la gestion de données et des algorithmes de fouille de données et de textes comme Apriori, ...
Hospitals across the country are using software powered by algorithms with racial biases, according to a new report from a coalition of healthcare providers. This can cause physicians to misdiagnose ...
The expectation-maximization algorithm maximises the likelihood function for problems involving latent or hidden variables. Latent variables are unobservable random variables that can introduce ...
In this project, I implemented with Python the solutions of the scheduling problem using different methods, the metaheuristic : genetic algorithm and secondly the dynamic programming.
Abstract: This paper presents a method that takes advantage of powerful graphics hardware to obtain fully affine-invariant image feature detection and matching. The chosen approach is the accurate, ...
*Not like this robot-vision stuff is hard work by engineers, or anything. Efficiently solving multi-label MRFs (Readme) (C/C++ code) Segmentation, object category labelling, stereo Multi-label ...
Abstract: Image matching is a well researched topic of computer vision. Several new algorithms have been developed in recent times to deal with repetitive pattern matching and affine invariant ...
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