Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Carolina Toledo Ferraz"'
Autor:
Carolina Toledo Ferraz
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USPUniversidade de São PauloUSP.
Descritores de características locais de imagens utilizados na representação de objetos têm se tornado muito populares nos últimos anos. Tais descritores têm a capacidade de caracterizar o conteúdo da imagem em dados compactos e discriminativo
Autor:
Carolina Toledo Ferraz
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USPUniversidade de São PauloUSP.
Técnicas baseadas na Equação de Fluxo Bem-Balanceada têm sido muitas vezes empregadas como eficientes ferramentas para eliminação de ruídos e preservação de arestas em imagens digitais. Embora efetivas, essas técnicas demandam alto custo co
Autor:
Marcelo G. Manzato, Carolina Toledo Ferraz, William Barcellos, Jose Hiroki Saito, Tamiris Trevisan Negri Borges, Osmando Pereira Junior, Adilson Gonzaga
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
Training and validation sets of labeled data are important components used in supervised learning to build a classification model. During training, most learning algorithms use all images from the given training set to estimate the model’s paramete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a11badc0fc5f05a1a6fe8fd7729f37ab
https://doi.org/10.1007/s11042-020-10384-9
https://doi.org/10.1007/s11042-020-10384-9
Autor:
Carolina Toledo Ferraz, Jose Hiroki Saito, Helder Cesar Rodigues de Oliveira, Marcelo Andrade da Costa Vieira, Osmando Pereira Junior, Adilson Gonzaga
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
J Digit Imaging
Universidade de São Paulo (USP)
instacron:USP
J Digit Imaging
Architectural distortion (AD) is the earliest sign of breast cancer that can be detected on a mammogram, and it is usually associated with malignant tumors. Breast cancer is one of the major causes of death among women, and the chance of cure can inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::138eb58efb0b27d6bf40a710d7bf55a1
https://doi.org/10.1007/s10278-020-00391-5
https://doi.org/10.1007/s10278-020-00391-5
Autor:
Roseli dos Reis Goulart, Francisco Fambrini, Jose Hiroki Saito, Lucas Ximenes Boa Sorte, Carolina Toledo Ferraz
Publikováno v:
KES
An automatic coffee plant disease recognition system is required since coffee is an important commodity in the world economy and its productivity and quality are affected by diseases such as Cercospora and Rust. This research aims to apply computatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12f8023189aa42e1b4aac478a70498a7
https://doi.org/10.1016/j.procs.2019.09.168
https://doi.org/10.1016/j.procs.2019.09.168
Autor:
Carolina Toledo Ferraz, Raissa Tavares Vieira Queiroga, Rodolfo Coelho Dalapicola, Adilson Gonzaga, Jose Hiroki Saito, Tamiris Trevisan Negri Borges
Publikováno v:
BRACIS
The biometric periocular trait refers to the face region in the vicinity of the eye, including the eyelids, eyelashes and eyebrows. The periocular region has emerged as a promising trait for unconstrained biometrics, due to recent advances of convolu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::790bbd5c6acde3b2bad6044a87363d15
https://doi.org/10.1109/bracis.2019.00077
https://doi.org/10.1109/bracis.2019.00077
Autor:
Carolina Toledo Ferraz, Raissa Tavares Vieira Queiroga, William Barcellos, Jose Hiroki Saito, Adilson Gonzaga, Nicolas Hiroaki Shitara
Publikováno v:
Anais do XV Workshop de Visão Computacional (WVC 2019).
The aim of this paper is to evaluate the performance of Transfer Learning techniques applied in Convolucional Neural Networks for biometric periocular classification. Two aspects of Transfer Learning were evaluated: the technique known as Fine Tuning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03b979aa5c905b9d298833b5604ae9c2
https://doi.org/10.5753/wvc.2019.7626
https://doi.org/10.5753/wvc.2019.7626
Publikováno v:
Multimedia Tools and Applications. 76:20609-20641
Objects classification or object detection is one of the most challenging tasks in computer vision. Digital images taken of real-life scenes capture objects at different positions, rotations and scales. Furthermore, variations in lighting, shape, col
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::573ebceac9bc25cae71a83a3d64b7ac7
https://doi.org/10.1007/s11042-016-4003-0
https://doi.org/10.1007/s11042-016-4003-0
Publikováno v:
WebMedia
Recent research in convolutional neural network (CNN) has provided a variety of new architectures for deep learning. One interesting new architecture is the local binary convolutional neural network (LBCNN), which has shown to provide significant red
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::465e3a7d8689c08a9f5eaeb2c081da9f
https://doi.org/10.1145/3243082.3267444
https://doi.org/10.1145/3243082.3267444
Publikováno v:
WebMedia
Face recognition has received significant attention during the past several years. It is a challenge task because faces can be affected by scale, noises, face expression, illumination, color or pose variations. The most robust methodologies related t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a35050022554438a2e21d8f0c4fbb55
https://doi.org/10.1145/3126858.3131584
https://doi.org/10.1145/3126858.3131584