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20012023
most citedOn the stability of persistent entropy and new summary functions for TDA

99 citations · 349 across the 28 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CL2019

Summary and Distance between Sets of Texts based on Topological Data Analysis

Eduardo Paluzo-Hidalgo, Rocio Gonzalez-Diaz, Miguel A. Gutiérrez-Naranjo

In this paper, we use topological data analysis (TDA) tools such as persistent homology, persistent entropy and bottleneck distance, to provide a {\it TDA-based summary} of any giv…

math.AT2019

An algorithm to compute minimal Sullivan algebras

Antonio Garvin, Rocio Gonzalez-Diaz, Belen MEdrano

In this note, we give an algorithm that starting with a Sullivan algebra gives us its minimal model. This algorithm is a kind of modified AT-model algorithm used to compute in the…

cs.LG2019★ 49 cited

Two-hidden-layer Feedforward Neural Networks are Universal Approximators: A Constructive Approach

Rocio Gonzalez-Diaz, Miguel A. Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo

It is well known that Artificial Neural Networks are universal approximators. The classical result proves that, given a continuous function on a compact set on an n-dimensional spa…

cs.CV2019

Topological signature for periodic motion recognition

Javier Lamar-Leon, Rocio Gonzalez-Diaz, Edel Garcia-Reyes

In this paper, we present an algorithm that computes the topological signature for a given periodic motion sequence. Such signature consists of a vector obtained by persistent homo…

cs.LG2019★ 7 cited

Topology-based Representative Datasets to Reduce Neural Network Training Resources

Rocio Gonzalez-Diaz, Miguel A. Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo

One of the main drawbacks of the practical use of neural networks is the long time required in the training process. Such a training process consists of an iterative change of para…