Feature Representation in Pretrained Deep Metric Embeddings

Autor: Ryan Furlong, Vincent O'Brien, James Garland, Daniel Palacios Alonso, Francisco Dominguez Mateos

In deep metric learning (DML), high-level input data are represented in a lower-level representation (embedding) space, such that samples from the same class are mapped close together, while samples from disparate classes are mapped further apart. In

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::896c94b7e5c423b1886879da69abf54c
https://doi.org/10.21203/rs.3.rs-2761696/v1

Adaptation of the College of Computer Scientists' Standard for Technical Final Degree Projects

Autor: Daniel Palacios-Alonso, Kevin Carrasco-Bertran, Carlos Lazaro-Carrascosa, Esther Nunez-Vidal, Francisco Dominguez-Mateos, Angel Velazquez-Iturbide

Publikováno v: 2021 IEEE 1st International Conference on Advanced Learning Technologies on Education & Research (ICALTER).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::981d7f887493caf842307ca0bddf9fcd
https://doi.org/10.1109/icalter54105.2021.9675121

Information architecture model for the successful data governance initiative in the peruvian higher education sector

Autor: Francisco Dominguez Mateos, Carlos Raymundo, Luis Felipe Castillo

Publikováno v: Universidad Peruana de Ciencias Aplicadas (UPC)
Repositorio Académico-UPC
UPC-Institucional
Universidad Peruana de Ciencias Aplicadas
instacron:UPC
Proceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. The research revealed the need to design an information architecture model for Data Governance init

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc8d25b0ca3820a04505d4bab96244a9