9 citations · 18 across the 8 of their papers we have counts for
9 papers
Szemerédi's theorem with random differences and arithmetic Kakeya
Gabriel Dahia
We prove that there exists an absolute constant such that the following holds for every and . Letting and , with…
Counting sets with given doubling via dimension
Marcelo Campos, Gabriel Dahia, João Pedro Marciano
We determine, up to a factor of , the number of -sets such that , where and , for small…
Dense sets without large sumsets
Gabriel Dahia, João Pedro Marciano, Victor Souza
We prove, for all fixed , and all sufficiently large , that there exists with such that for all ${A, B \subset \mat…
An exponential upper bound for induced Ramsey numbers
Lucas Aragão, Marcelo Campos, Gabriel Dahia +2
The induced Ramsey number of a graph is the minimum number such that there exists a graph with vertices for which all -colourings of its edg…
On the independence number of sparser random Cayley graphs
Marcelo Campos, Gabriel Dahia, João Pedro Marciano
The Cayley sum graph of a set is defined to have vertex set and an edge between two distinct vertices if $x…
The diameter of randomly twisted hypercubes
Lucas Aragão, Maurício Collares, Gabriel Dahia +1
The -dimensional random twisted hypercube is constructed recursively by taking two instances of , with any joint distribution, and adding a rand…
Meta Learning for Few-Shot One-class Classification
Gabriel Dahia, Maurício Pamplona Segundo
We propose a method that can perform one-class classification given only a small number of examples from the target class and none from the others. We formulate the learning of mea…
Improving Fingerprint Pore Detection with a Small FCN
Gabriel Dahia, Maurício Pamplona Segundo
In this work, we investigate if previously proposed CNNs for fingerprint pore detection overestimate the number of required model parameters for this task. We show that this is ind…
Automatic Dataset Annotation to Learn CNN Pore Description for Fingerprint Recognition
Gabriel Dahia, Maurício Pamplona Segundo
High-resolution fingerprint recognition often relies on sophisticated matching algorithms based on hand-crafted keypoint descriptors, with pores being the most common keypoint choi…