Author: ANDRES EDUARDO GUTIERREZ RODRÍGUEZ

Pattern-based clustering using unsupervised decision trees

ANDRES EDUARDO GUTIERREZ RODRÍGUEZ (2015)

In clustering, providing an explanation of the results is an important task.

Pattern-based clustering algorithms provide, in addition to the list of objects

belonging to each cluster, an explanation of the results in terms of a set of

patterns that describe the objects grouped in each cluster. It makes these

algorithms very attractive from the practical point of view; however, patternbased

clustering algorithms commonly have a high computational cost in the

clustering stage. Moreover, the most recent algorithms proposed within this

approach, extract patterns from numerical datasets by applying an a priori

discretization process, which may cause information loss. In this thesis, we

propose new algorithms for extracting only a subset of patterns useful for

clustering, from a collection of diverse unsupervised decision trees induced

from a dataset. Additionally, we propose a new clustering algorithm based

on these patterns.

Doctoral thesis

Patter mining Pattern-based clustering Clustering Mixed Datasets CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA MATEMÁTICAS CIENCIA DE LOS ORDENADORES SISTEMAS DE RECONOCIMIENTO DE CARACTERES

Improving fingerprint verification using minutiae triplets

MIGUEL ANGEL MEDINA PEREZ MILTON GARCÍA BORROTO ANDRES EDUARDO GUTIERREZ RODRIGUEZ Leopoldo Altamirano Robles (2012)

Improving fingerprint matching algorithms is an active and important research area in fingerprint recognition. Algorithms based on minutia triplets, an important matcher family, present some drawbacks that impact their accuracy, such as dependency to the order of minutiae in the feature, insensitivity to the reflection of minutiae triplets, and insensitivity to the directions of the minutiae relative to the sides of the triangle. To alleviate these drawbacks, we introduce in this paper a novel fingerprint matching algorithm, named M3gl. This algorithm contains three components: a new feature representation containing clockwise-arranged minutiae without a central minutia, a new similarity measure that shifts the triplets to find the best minutiae correspondence, and a global matching procedure that selects the alignment by maximizing the amount of global matching minutiae. To make M3gl faster, it includes some optimizations to discard non-matching minutia triplets without comparing the whole representation. In comparison with six verification algorithms, M3gl achieves the highest accuracy in the lowest matching time, using FVC2002 and FVC2004 databases.

Article

Fingerprint verification Minutiae descriptor Minutiae triplet CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA MATEMÁTICAS CIENCIA DE LOS ORDENADORES CIENCIA DE LOS ORDENADORES

Image annotation as Text-Image matching: Challenge design and results

Luis Luis Pellegrin OCTAVIO LOYOLA GONZALEZ JOSE ORTIZ BEJAR MIGUEL ANGEL MEDINA PEREZ ANDRES EDUARDO GUTIERREZ RODRIGUEZ Eric Sadit Téllez Avila MARIO GRAFF GUERRERO SABINO MIRANDA JIMENEZ Daniela Moctezuma MAURICIO ALFONSO GARCIA LIMON ALICIA MORALES REYES CARLOS ALBERTO REYES GARCIA Eduardo Morales Manzanares Hugo Jair Escalante (2019)

This paper describes the design of the 2017 RedICA: Text-Image Matching (RICATIM) challenge, including the dataset generation, a complete analysis of results, and the descriptions of the top-ranked developed methods. The academic challenge explores the feasibility of a novel binary image classification scenario, where each instance corresponds to the concatenation of learned representations of an image and a word. Instances are labeled as positive if the word is relevant for describing the visual content of the image, and negative otherwise. This novel approach of the image classification problem poses an alternative scenario where any text-image pair can be represented in such space, so any word could be considered for describing an image. The proposed methods are diverse and competitive, showing considerable improvements over the proposed baselines.

Article

Text-image matching Image annotation Multimodal information processing INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS OTRAS ESPECIALIDADES TECNOLÓGICAS OTRAS OTRAS