161 citations
- Universidade Federal do Espírito SantoBR19 papers
- Centro Brasileiro de Pesquisas FísicasBR10 papers
- Universidade do Estado do Rio de JaneiroBR4 papers
- Universidade Estadual de Campinas (UNICAMP)BR3 papers
- Aix-Marseille UniversitéFR2 papers
- Centre de Physique ThéoriqueFR2 papers
- Institute of Mathematics and PhysicsBJ2 papers
- Instituto Federal FluminenseBR2 papers
- Massachusetts Institute of TechnologyUS2 papers
- Muncipal de Bom Jesus do ItabapoanaBR2 papers
- National Research Nuclear University MEPhIRU2 papers
- Universidade Federal de Ouro PretoBR2 papers
41 papers
Cross-Domain Object Detection Using Unsupervised Image Translation
Vinicius F. Arruda, Rodrigo F. Berriel, Thiago M. Paixão +4
Unsupervised domain adaptation for object detection addresses the adaption of detectors trained in a source domain to work accurately in an unseen target domain. Recently, methods…
Self-adjoint extensions for a -corrected Hamiltonian of a particle on a finite interval
B. B. Dilem, J. C. Fabris, J. A. Nogueira
In the present paper we deal with the issue of finding the self-adjoint extensions of a -corrected Hamiltonian. The importance of this subject lies on the application of the c…
Aspects of the gauge boson-gaugino mixing in a supersymmetric scenario with Lorentz-symmetry violation
R. C. Terin, W. Spalenza, H. Belich +1
We write down an supersymmetric extension for non-Abelian gauge theories in (1+3) dimensions with a Lorentz- and CPT-violating term of the Carroll-Field-Jackiw type…
On the Dynamics of Hopfield Neural Networks on Unit Quaternions
Marcos Eduardo Valle, Fidelis Zanetti de Castro
In this paper, we first address the dynamics of the elegant multi-valued quaternionic Hopfield neural network (MV-QHNN) proposed by Minemoto and collaborators. Contrary to what was…
Fractal measures of image local features: an application to texture recognition
Pedro M. Silva, Joao B. Florindo
Here we propose a new method for the classification of texture images combining fractal measures (fractal dimension, multifractal spectrum and lacunarity) with local binary pattern…
Deep Learning-based Type Identification of Volumetric MRI Sequences
Jean Pablo Vieira de Mello, Thiago M. Paixão, Rodrigo Berriel +4
The analysis of Magnetic Resonance Imaging (MRI) sequences enables clinical professionals to monitor the progression of a brain tumor. As the interest for automatizing brain volume…