Modeling the data provenance of relational databases supporting full-featured SQL and procedural languages
D Tang, R Zhao, Y Lin, T Zhang, P Zhang - Applied Sciences, 2022 - mdpi.com
Data provenance is information about where data come from (provenance data) and how
they transform (provenance transformation). Data provenance is widely used to evaluate …
they transform (provenance transformation). Data provenance is widely used to evaluate …
A bayesian-neural-networks framework for scaling posterior distributions over different-curation datasets
In this paper, we propose and experimentally assess an innovative framework for scaling
posterior distributions over different-curation datasets, based on Bayesian-Neural-Networks …
posterior distributions over different-curation datasets, based on Bayesian-Neural-Networks …
Detecting Near-Duplicate Face Images
S Banerjee, A Ross - arXiv preprint arXiv:2408.07689, 2024 - arxiv.org
Near-duplicate images are often generated when applying repeated photometric and
geometric transformations that produce imperceptible variants of the original image …
geometric transformations that produce imperceptible variants of the original image …