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20062020
most citedDeep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment

41 citations

Showing cs.CVShow all

5 papers · 1 filter

cs.CV2020

Performance Improvement of Path Planning algorithms with Deep Learning Encoder Model

Janderson Ferreira, Agostinho A. F. Júnior, Yves M. Galvão +3

Currently, path planning algorithms are used in many daily tasks. They are relevant to find the best route in traffic and make autonomous robots able to navigate. The use of path p…

cs.CV20202 cited

FCN+RL: A Fully Convolutional Network followed by Refinement Layers to Offline Handwritten Signature Segmentation

Celso A. M. Lopes Junior, Matheus Henrique M. da Silva, Byron Leite Dantas Bezerra +2

Although secular, handwritten signature is one of the most reliable biometric methods used by most countries. In the last ten years, the application of technology for verification…

cs.CV201714 cited

Dialectical Multispectral Classification of Diffusion-Weighted Magnetic Resonance Images as an Alternative to Apparent Diffusion Coefficients Maps to Perform Anatomical Analysis

Wellington Pinheiro dos Santos, Francisco Marcos de Assis, Ricardo Emmanuel de Souza +2

Multispectral image analysis is a relatively promising field of research with applications in several areas, such as medical imaging and satellite monitoring. A considerable number…

cs.CV20176 cited

Fuzzy-Based Dialectical Non-Supervised Image Classification and Clustering

Wellington Pinheiro dos Santos, Francisco Marcos de Assis, Ricardo Emmanuel de Souza +3

The materialist dialectical method is a philosophical investigative method to analyze aspects of reality. These aspects are viewed as complex processes composed by basic units name…

cs.CV201728 cited

An Adaptive Fuzzy-Based System to Simulate, Quantify and Compensate Color Blindness

Jinmi Lee, Wellington Pinheiro dos Santos

About 8% of the male population of the world are affected by a determined type of color vision disturbance, which varies from the partial to complete reduction of the ability to di…