Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Nina S. T. Hirata"'
Publikováno v:
Mathematics, Vol 9, Iss 16, p 1854 (2021)
Morphological operators are nonlinear transformations commonly used in image processing. Their theoretical foundation is based on lattice theory, and it is a well-known result that a large class of image operators can be expressed in terms of two bas
Externí odkaz:
https://doaj.org/article/d94db7dc7f964ff68fc98778ebf25005
Publikováno v:
The Scientific World Journal, Vol 2013 (2013)
Externí odkaz:
https://doaj.org/article/a32911a6e3bb40f783e89a442c9069e4
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 4, p 045019 (2023)
Errors in measurements are key to weighting the value of data, but are often neglected in machine learning (ML). We show how convolutional neural networks (CNNs) are able to learn about the context and patterns of signal and noise, leading to improve
Externí odkaz:
https://doaj.org/article/1c9e036057d74ab7a1db9b3f611006aa
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Publikováno v:
SN Computer Science. 4
Autor:
Artur André A. M. Oliveira, Mateus Espadoto, Roberto Hirata, Nina S. T. Hirata, Alexandru C. Telea
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031254765
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f220872c4c9eacf7bc25148776925d0
https://doi.org/10.1007/978-3-031-25477-2_7
https://doi.org/10.1007/978-3-031-25477-2_7
Autor:
Sergio Y. Hayashi, Nina S. T. Hirata
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
We address the problem of training Object Detection models using significantly less bounding box annotated images. For that, we take advantage of cheaper and more abundant image classification data. Our proposal consists in automatically generating a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82596014f9389da595f11d335bbf13bd
Autor:
L. J. de Melo de Azevedo, L. Katena, Antonio Kanaan, Paula Coelho, M. V. Costa-Duarte, F. Urrutia-Viscarra, A. Schnorr Müller, Irapuan Rodrigues, Erik V.R. de Lima, Angela Krabbe, David Alexander Kann, M. Vika, Carlos Gabriel Escudero, S. Alencar, Dennis Zaritsky, Nina S. T. Hirata, G. Damke, Fernando Roig, H. Farías, Leonardo A. Almeida, Anthony H. Gonzalez, D. Brito-Silva, Favio Raúl Faifer, F. Almeida-Fernandes, Luca Izzo, H. J. Rocha Pinto, O. L. Dors, W. A. Santos, M. Jaque Arancibia, Rafael M. Santucci, Pieter Westera, Yara L. Jaffé, Bruno Quint, Kanak Saha, R. S. Nemmen, Roberto K. Saito, L. A. Gutiérrez-Soto, Silvia Rossi, Leandro Alberto Sesto, Lilianne Mariko Izuti Nakazono, Ana L. Chies-Santos, L. Azanha, C. Labayru, Christina C. Thöne, William Schoenell, C. Lima-Dias, A. de Ugarte Postigo, S. S. Eikenberry, Carlos A. Fernandes, E. A. Hartmann, R. A. Ortega-Minakata, L. Sampedro, Ramachrisna Teixeira, P. Amram, Daniela Lazzaro, N. Muñoz-Elgueta, R. Lopes de Oliveira, C. H. Veiga, E. Pattaro, Teresa Santos-Silva, C. B. Pereira, S. V. Werner, R. Cid Fernandes, F. R. Herpich, Alexandre S. Oliveira, Simone Daflon, R. S. de Souza, J. S. Alcaniz, Analia Viviana Smith Castelli, Beatriz B. Siffert, D. F. De Paula, C. Bonatto, H. D. Perottoni, Marina Trevisan, Y. Jimenez-Teja, Eduardo S. Pereira, L. Sodré, Timothy C. Beers, M. Borges Fernandes, A. Werle, M. L. Buzzo, C. Mendes de Oliveira, M. Castejon, Vinicius M. Placco, Richard L. Donnerstein, Javier Alonso-García, Roderik Overzier, S. Bonoli, J. A. Hernandez-Jimenez, C. Queiroz, Beatriz Luci Fernandes, Rodolfo H. Barbá, R. Monteiro-Oliveira, Thiago S. Gonçalves, R. Silva, Alvaro Alvarez-Candal, Arianna Cortesi, G. Fabiano de Souza, Karín Menéndez-Delmestre, Eduardo S. Cypriano, T. Ribeiro, J. Caffer, Zach Cano, Martin Makler, S. Fontes, H. S. Xavier, C. L. Barbosa, V. Jatenco-Pereira, K. G. Diem, Amanda R. Lopes, M. L. L. Dantas, R. C. Thom de Souza, A. Galarza, Jane Gregorio-Hetem, J. L. Nilo Castellón, A. Z. Vitorelli, D. Ortíz, R. de Menezes, Denise R. Gonçalves, Reginaldo Bezerra dos Santos, Jordi Miralda-Escudé, J. D. Hernández-Fernández, R. A. Dupke, Alberto Molino, R. Magalhães, L. Riguccini, A. Campillay, Ribamar R. R. Reis, Leandro Kerber, Fabricio Ferrari, G. B. Lima Neto, Pedro H. Bernardinelli, Stavros Akras, V. Branco, Devin D. Whitten, Luis Raul Weber Abramo, P. M. Novais, Antonio D. Montero-Dorta, S. Torres-Flores, Eduardo Telles, J. M. Carvano, C. E. Barbosa, R. de la Reza, Paulo A. A. Lopes, Alessandro Ederoclite
Publikováno v:
Monthly Notices of the Royal Astronomical Society. 489:3403-3411
In this study we define a new sample of distant powerful radio galaxies in order to study their host-galaxy properties and provide targets for future observations of HI absorption with new radio telescopes and to understand the fuelling and feedback
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Dimensionality reduction methods, also known as projections, are frequently used in multidimensional data exploration in machine learning, data science, and information visualization. Tens of such techniques have been proposed, aiming to address a wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e35f7f651ac27ef61e7fd084a8422b3