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20172022
most citedHistopathologic Image Processing: A Review

24 citations · 54 across the 9 of their papers we have counts for

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21 papers · 1 filter

cs.CV20221 cited

Evaluation of Self-taught Learning-based Representations for Facial Emotion Recognition

Bruna Delazeri, Leonardo L. Veras, Alceu de S. Britto +2

This work describes different strategies to generate unsupervised representations obtained through the concept of self-taught learning for facial emotion recognition (FER). The ide…

cs.CV20221 cited

Multiscale Analysis for Improving Texture Classification

Steve T. M. Ataky, Diego Saqui, Jonathan de Matos +2

Information from an image occurs over multiple and distinct spatial scales. Image pyramid multiresolution representations are a useful data structure for image analysis and manipul…

cs.CV2021

Open-set Face Recognition for Small Galleries Using Siamese Networks

Gabriel Salomon, Alceu Britto, Rafael H. Vareto +2

Face recognition has been one of the most relevant and explored fields of Biometrics. In real-world applications, face recognition methods usually must deal with scenarios where no…

cs.CV2021

Machine Learning Methods for Histopathological Image Analysis: A Review

Jonathan de Matos, Steve Tsham Mpinda Ataky, Alceu de Souza Britto +2

Histopathological images (HIs) are the gold standard for evaluating some types of tumors for cancer diagnosis. The analysis of such images is not only time and resource consuming,…

cs.CV2020

A Comprehensive Comparison of End-to-End Approaches for Handwritten Digit String Recognition

Andre G. Hochuli, Alceu S. Britto, David A. Saji +3

Over the last decades, most approaches proposed for handwritten digit string recognition (HDSR) have resorted to digit segmentation, which is dominated by heuristics, thereby impos…

cs.CV2020

Intrapersonal Parameter Optimization for Offline Handwritten Signature Augmentation

Teruo M. Maruyama, Luiz S. Oliveira, Alceu S. Britto +1

Usually, in a real-world scenario, few signature samples are available to train an automatic signature verification system (ASVS). However, such systems do indeed need a lot of sig…