Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Ana Paula B. Lopes"'
Autor:
Ana Luiza Paraboni, Jéssica Pulino Campara, Ana Paula B. Lopes, Valter Saurin, Newton C. A. da Costa
Publikováno v:
Journal of Behavioral and Experimental Finance. 14:39-46
This study is an attempt to identify the influence of numeracy skills on subjective risk tolerance in a group of Brazilian university students ( n = 308 ) . The primary findings describe a sample with a high level of numeracy skills and medium risk t
Publikováno v:
Pattern Recognition Letters. 32:56-68
The fast evolution of digital video has brought many new multimedia applications and, as a consequence, has increased the amount of research into new technologies that aim at improving the effectiveness and efficiency of video acquisition, archiving,
Autor:
Arnaldo de Albuquerque Araújo, Eduardo Valle, Ana Paula B. Lopes, Elerson R. S. Santos, Jussara M. Almeida
Publikováno v:
SIBGRAPI
To manually collect action samples from realistic videos is a time-consuming and error-prone task. This is a serious bottleneck to research related to video understanding, since the large intra-class variations of such videos demand training sets lar
Autor:
Alexei Manso Correa Machado, Thomas M. Deserno, Júlia Epischina Engrácia de Oliveira, Arnaldo de Albuquerque Araújo, Ana Paula B. Lopes, Guillermo Camara Chavez
Publikováno v:
Repositório Institucional da UFOP
Universidade Federal de Ouro Preto (UFOP)
instacron:UFOP
Universidade Federal de Ouro Preto (UFOP)
instacron:UFOP
In this paper, we present a content-based image retrieval system designed to retrieve mammographies from large medical image database. The system is developed based on breast density, according to the four categories defined by the American College o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd9cbe084ba8d6c034b9f1275f4def38
http://www.repositorio.ufop.br/handle/123456789/4413
http://www.repositorio.ufop.br/handle/123456789/4413
Autor:
Arnaldo de Albuquerque Araújo, Ana Paula B. Lopes, Jussara M. Almeida, Rodrigo Silva Oliveira
Publikováno v:
MMSP
Bag-of-Visual-Features (BoVF) representations have achieved a great success when used for object recognition, mainly because of their robustness to several kinds of variations and occlusion. Recently, a number of BoVF approaches has been proposed als
Publikováno v:
SIBGRAPI
The strategies for the preservation of historical documents can include their digitization, which is an effective way to make them publicly available while preventing degradation of the original sources. The Arquivo Publico Mineiro (APM), the Archive
Autor:
Ana Paula B. Lopes, Jussara M. Almeida, Arnaldo de Albuquerque Araújo, Rodrigo Silva Oliveira
Publikováno v:
SIBGRAPI
The recognition of human actions from videos has several interesting and important applications, and a vast amount of different approaches has been proposed for this task in different settings. Such approaches can be broadly categorized in model-base
Autor:
Rodrigo Silva Oliveira, Arnaldo de Albuquerque Araújo, Ana Paula B. Lopes, Marcelo de Miranda Coelho, Anderson N. A. Peixoto, Sandra Avila
Publikováno v:
SIBGRAPI
The ability to filter improper content from multimedia sources based on visual content has important applications, since text-based filters are clearly insufficient against erroneous and/or malicious associations between text and actual content. In t
Autor:
Guillermo Cámara-Chávez, Ana Paula B. Lopes, Thomas M. Deserno, Arnaldo de Albuquerque Araújo, Júlia Epischina Engrácia de Oliveira
Publikováno v:
CBMS
In this paper, we present a content-based image retrieval (CBIR) system called MammoSVD. This CBIR system is developed based on breast density — fatty or dense, and the database used, from the IRMA project, provides images with the ground truth alr
Autor:
David Lunardi Flam, Ana Paula B. Lopes, Jussara M. Almeida, Natália. C. Batista, Arnaldo de Albuquerque Araújo, Sandra Avila
Publikováno v:
WebMedia
In this paper, we propose and evaluate a method for automatic frame extraction from a collection of historical photographs. These frames are very noisy and were demonstrated to significantly affect the results of content-based image indexing and retr