Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Sousa, Ricardo Gamelas"'
This work presents a hierarchical deep learning natural language parser for fashion. Our proposal intends not only to recognize fashion-domain entities but also to expose syntactic and morphologic insights. We leverage the usage of an architecture of
Externí odkaz:
http://arxiv.org/abs/1806.09511
A picture is worth a thousand words. Albeit a clich\'e, for the fashion industry, an image of a clothing piece allows one to perceive its category (e.g., dress), sub-category (e.g., day dress) and properties (e.g., white colour with floral patterns).
Externí odkaz:
http://arxiv.org/abs/1806.09445
Autor:
Sousa, Ricardo Gamelas, Santos, Jorge M., Silva, Luís M., Alexandre, Luís A., Esteves, Tiago, Rocha, Sara, Monjardino, Paulo, de Sá, Joaquim Marques, Figueiredo, Francisco, Quelhas, Pedro
In this paper we present a system for the detection of immunogold particles and a Transfer Learning (TL) framework for the recognition of these immunogold particles. Immunogold particles are part of a high-magnification method for the selective local
Externí odkaz:
http://arxiv.org/abs/1712.02824
Autor:
Sousa, Ricardo Gamelas, Alexandre, Luís A., Santos, Jorge M., Silva, Luís M., de Sá, Joaquim Marques
Transfer Learning (TL) aims to transfer knowledge acquired in one problem, the source problem, onto another problem, the target problem, dispensing with the bottom-up construction of the target model. Due to its relevance, TL has gained significant i
Externí odkaz:
http://arxiv.org/abs/1712.02159
This work presents a hierarchical deep learning natural language parser for fashion. Our proposal intends not only to recognize fashion-domain entities but also to expose syntactic and morphologic insights. We leverage the usage of an architecture of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4ee6058db27cc5c0d4bc7e9f32fa1cb
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Sousa, Ricardo Gamelas, Esteves, Tiago, Rocha, Sara, Figueiredo, Francisco, Quelhas, Pedro, Silva, Luís M.
Publikováno v:
Image Analysis & Recognition (9783319208008); 2015, p377-384, 8p
Autor:
Sousa, Ricardo Gamelas, Esteves, Tiago, Rocha, Sara, Figueiredo, Francisco, de Sá, Joaquim M., Alexandre, Luís A., Santos, Jorge M., Silva, Luís M.
Publikováno v:
Advances in Computational Intelligence: 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings, Part I; 2015, p374-384, 11p
Autor:
Dias, Daniel Canastro
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Submitted by Manuel Brandão (recipp@sc.ipp.pt) on 2016-04-05T10:56:53Z No. of bitstreams: 1 DM_DanielDias_2015_MECIM.pdf: 4727505 bytes, checksum: b4a4b9dfc358fbfd9f0e1b9afb6a27f4 (MD5) Approved for entry into archive by Ana Rebelo (amsr@isep.ipp.pt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::7b0ef908525c0102696a49d9b7a6bb6e