Gustavo Olague

发表

Increasing GP Computing Power via Volunteer Computing pdf

Pedro A. Castillo, Lourdes Araujo, Daniel Lombraña Gonzalez, 2008, ArXiv.

Shared Resource Availability within Ubiquitous Collaboration Environments

José Rodríguez, Gustavo Olague, Kimberly García, 2009, CRIWG.

Automatic Synthesis of Associative Memories through Genetic Programming: A First Co-evolutionary Approach

Juan Humberto Sossa Azuela, Gustavo Olague, Juan Villegas-Cortez, 2010, EvoApplications.

Evolutionary computer vision

Mengjie Zhang, Stefano Cagnoni, Gustavo Olague, 2009, GECCO '09.

Genetic Programming: From Design to Improved Implementation

Leonardo Trujillo, Gustavo Olague, Pierrick Legrand, 2016, GECCO.

Customizable execution environments for evolutionary computation using BOINC + virtualization

Daniel Lombraña Gonzalez, Francisco Fernández de Vega, Leonardo Trujillo, 2012, Natural Computing.

Interest point detection through multiobjective genetic programming

Leonardo Trujillo, Gustavo Olague, L. Trujillo, 2012, Appl. Soft Comput..

Genetic programming as strategy for learning image descriptor operators

Gustavo Olague, Cynthia B. Pérez, Gustavo Olague, 2013, Intell. Data Anal..

Planification du placement de caméras pour des mesures 3D de précision. (Planning Camera Placement for Accurate 3D Measurements)

Gustavo Olague, 1998 .

Multiobjective design of operators that detect points of interest in images

Francisco Fernández de Vega, Leonardo Trujillo, Gustavo Olague, 2008, GECCO '08.

The Infection Algorithm: An Artificial Epidemic Approach for Dense Stereo Correspondence

Gustavo Olague, Francisco Fernández, Evelyne Lutton, 2006, Artificial Life.

Multi-objective Sensor Planning for Efficient and Accurate Object Reconstruction

Enrique Dunn, Gustavo Olague, 2004, EvoWorkshops.

Introduction to the special issue on evolutionary computer vision and image understanding

Stefano Cagnoni, Gustavo Olague, Evelyne Lutton, 2006, Pattern Recognit. Lett..

Accurate L-Corner Measurement Using USEF Functions and Evolutionary Algorithms

Enrique Dunn, Gustavo Olague, Benjamín Hernández, 2003, EvoWorkshops.

Evolutionary Computation Applied to the Automatic Design of Artificial Neural Networks and Associative Memories

Juan Humberto Sossa Azuela, Gustavo Olague, Beatriz A. Garro, 2012, EVOLVE.

Facial Expression Recognition in Nonvisual Imagery

Gustavo Olague, Riad I. Hammoud, Leonardo Trujillo, 2009 .

A new accurate and flexible model based multi-corner detector for measurement and recognition

Gustavo Olague, Benjamín Hernández, Gustavo Olague, 2005, Pattern Recognit. Lett..

Honeybees as an Intelligent based Approach for 3D Reconstruction

Gustavo Olague, Cesar Puente, Cesar Puente, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

A Genetic Programming Approach to the Design of Interest Point Operators

Leonardo Trujillo, Gustavo Olague, L. Trujillo, 2009, Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition.

Evolutionary learning of local descriptor operators for object recognition

Gustavo Olague, Cynthia B. Pérez, Gustavo Olague, 2009, GECCO.

Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments

Jesús Alcalá-Fdez, Rafael Alcalá, Francisco Herrera, 2012, Applied Intelligence.

Pareto optimal camera placement for automated visual inspection

Enrique Dunn, Gustavo Olague, 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Unsupervised Image Retrieval with Similar Lighting Conditions

Juan Humberto Sossa Azuela, Gustavo Olague, Juan Villegas-Cortez, 2010, 2010 20th International Conference on Pattern Recognition.

Evolving a conspicuous point detector based on an artificial dorsal stream: SLAM system

Gustavo Olague, Eddie Clemente, Daniel E. Hernández, 2012, GECCO '12.

Behavior-based speciation for evolutionary robotics

Francisco Fernández de Vega, Leonardo Trujillo, Gustavo Olague, 2008, GECCO '08.

Selecting Local Region Descriptors with a Genetic Algorithm for Real-World Place Recognition

Francisco Fernández de Vega, Leonardo Trujillo, Gustavo Olague, 2008, EvoWorkshops.

Evolving an Artificial Visual Cortex for Object Recognition with Brain Programming

Gustavo Olague, Eddie Clemente, Daniel E. Hernández, 2012, EVOLVE.

Synthesis of odor tracking algorithms with genetic programming

José Luis Gordillo, Gustavo Olague, B. Lorena Villarreal, 2016, Neurocomputing.

Scene Retrieval of Natural Images

Juan Humberto Sossa Azuela, Gustavo Olague, Juan Villegas-Cortez, 2009, CIARP.

Hybrid Evolution Strategy-Downhill Simplex Algorithm for Inverse Light Scattering Problems

Gustavo Olague, Demetrio Macías, Eugenio R. Méndez, 2003, EvoWorkshops.

Flexible model-based multi-corner detector for accurate measurements and recognition

Gustavo Olague, Benjamín Hernández, 2002, Object recognition supported by user interaction for service robots.

Automatic Design of Artificial Neural Networks and Associative Memories for Pattern Classification and Pattern Restoration

Juan Humberto Sossa Azuela, Gustavo Olague, Beatriz A. Garro, 2012, MCPR.

Multiple robot task distribution: towards an autonomous photogrammetric system

Enrique Dunn, Gustavo Olague, 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

Automated Design of Image Operators that Detect Interest Points

Leonardo Trujillo, Gustavo Olague, 2008, Evolutionary Computation.

The Infection Algorithm: An Artificial Epidemic Approach for Dense Stereo Matching

Francisco Fernández de Vega, Gustavo Olague, Evelyne Lutton, 2004, PPSN.

It is Time for New Perspectives on How to Fight Bloat in GP pdf

Erik D. Goodman, Wolfgang Banzhaf, Francisco Fernández de Vega, 2020, GPTP.

Automatic Feature Localization in Thermal Images for Facial Expression Recognition

Leonardo Trujillo, Gustavo Olague, Riad I. Hammoud, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Cooperative and decomposable approaches on royal road functions: overcoming the random mutation hill-climber

Gustavo Reis, Gustavo Olague, Francisco Fernández, 2009, GECCO.

Pareto optimal sensing strategies for an active vision system

Marc Schoenauer, Enrique Dunn, Gustavo Olague, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Automated Photogrammetric Network Design Using the Parisian Approach

Enrique Dunn, Gustavo Olague, Evelyne Lutton, 2005, EvoWorkshops.

Synthesis of Vegetation Indices Using Genetic Programming for Soil Erosion Estimation

Gustavo Olague, Pedro David Arjona-Villicaña, Carlos Soubervielle-Montalvo, 2019, Remote. Sens..

Genetic programming methodology that synthesize vegetation indices for the estimation of soil cover

Alejandro Hinojosa-Corona, Gustavo Olague, Cesar Puente, 2009, GECCO.

Unsupervised Evolutionary Segmentation Algorithm Based on Texture Analysis

Gustavo Olague, Cynthia B. Pérez, Gustavo Olague, 2009, EvoWorkshops.

Comparison of Local Feature Extraction Paradigms Applied to Visual SLAM

Leonardo Trujillo, Gustavo Olague, Pierrick Legrand, 2016, Computación y Sistemas.

Using Evolution to Learn How to Perform Interest Point Detection

Leonardo Trujillo, Gustavo Olague, L. Trujillo, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

An independent and non-intrusive laser pointer environment control device system

Francisco Fernández de Vega, Gustavo Olague, O FranciscoChávezdela, 2008, ICPS '08.

A Novel GP Approach to Synthesize Vegetation Indices for Soil Erosion Assessment

Alejandro Hinojosa-Corona, Gustavo Olague, Cesar Puente, 2009, EvoWorkshops.

Hybrid evolutionary ridge regression approach for high-accurate corner extraction

Enrique Dunn, Gustavo Olague, Benjamín Hernández, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Evolutionary computer vision

Gustavo Olague, Gustavo Olague, 2007, GECCO '07.

Learning invariant region descriptor operators with genetic programming and the F-measure

Gustavo Olague, Cynthia B. Pérez, 2008, 2008 19th International Conference on Pattern Recognition.

Deploying massive runs of evolutionary algorithms with ECJ and Hadoop: Reducing interest points required for face recognition

Francisco Fernández de Vega, Leonardo Trujillo, Gustavo Olague, 2018, Int. J. High Perform. Comput. Appl..

Purposive Evolution for Object Recognition Using an Artificial Visual Cortex

Gustavo Olague, Eddie Clemente, León Dozal, 2012, EVOLVE.

Individual Evolution as an Adaptive Strategy for Photogrammetric Network Design

Enrique Dunn, Gustavo Olague, Evelyne Lutton, 2008, Adaptive and Multilevel Metaheuristics.

Profiting from Several Recommendation Algorithms Using a Scalable Approach

Leonardo Trujillo, Gustavo Olague, Francisco Fernández, 2015, NEO.

Speciation in Behavioral Space for Evolutionary Robotics

Francisco Fernández de Vega, Leonardo Trujillo, Gustavo Olague, 2011, J. Intell. Robotic Syst..

Automatic Contrast Enhancement with Differential Evolution for Leukemia Cell Identification

Juan Humberto Sossa Azuela, Gustavo Olague, R. Ochoa-Montiel, 2019, MCPR.

Genetic tuning of a laser pointer environment control device system for handicapped people with fuzzy systems

Jesús Alcalá-Fdez, Rafael Alcalá, Francisco Herrera, 2010, International Conference on Fuzzy Systems.

A Multi-objective Evolutionary Algorithm for Interaction Systems Based on Laser Pointers

Francisco Fernández de Vega, Gustavo Olague, O FranciscoChávezdela, 2015, EvoApplications.

Optimal camera placement to obtain accurate 3D point positions

Roger Mohr, Gustavo Olague, R. Mohr, 1997, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Automata design for honeybee search algorithm and its applications to 3D scene reconstruction and video tracking

Carlos Soubervielle-Montalvo, Gustavo Olague, Jorge Limon-Romero, 2020, Swarm Evol. Comput..

The EvoSpace Model for Pool-Based Evolutionary Algorithms

Juan Julián Merelo Guervós, Francisco Fernández de Vega, Leonardo Trujillo, 2015, Journal of Grid Computing.

Object Recognition with an Optimized Ventral Stream Model Using Genetic Programming

Gustavo Olague, Eddie Clemente, León Dozal, 2012, EvoApplications.

Evolutionary Denoising Based on an Estimation of Hölder Exponents with Oscillations

Gustavo Olague, Pierrick Legrand, Evelyne Lutton, 2006, EvoWorkshops.

Editorial Introduction to the Special Issue on Evolutionary Computer Vision

Stefano Cagnoni, Gustavo Olague, Evelyne Lutton, 2008, Evolutionary Computation.

Object Detection in Natural Images Using the Brain Programming Paradigm with a Multi-objective Approach

Gustavo Olague, Eddie Clemente, Daniel E. Hernández, 2015, EvoApplications.

Evolutionary Synthesis of Interest Point Detectors Through Genetic Programming

Gustavo Olague, 2016 .

Evolutionary-computer-assisted design of image operators that detect interest points using genetic programming

Leonardo Trujillo, Gustavo Olague, L. Trujillo, 2011, Image Vis. Comput..

Parisian evolution with honeybees for three-dimensional reconstruction

Gustavo Olague, Cesar Puente, Cesar Puente, 2006, GECCO '06.

Evolving Head Tracking Routines With Brain Programming

Gustavo Olague, Eddie Clemente, Mariana Chan-Ley, 2018, IEEE Access.

An Evolutionary Infection Algorithm for Dense Stereo Correspondence

Gustavo Olague, Francisco Fernández, Evelyne Lutton, 2005, EvoWorkshops.

EvoSpace: A Distributed Evolutionary Platform Based on the Tuple Space Model

Juan Julián Merelo Guervós, Francisco Fernández de Vega, Leonardo Trujillo, 2013, EvoApplications.

Artificial Visual Cortex and Random Search for Object Categorization

Sambit Bakshi, Gustavo Olague, Eddie Clemente, 2019, IEEE Access.

Brain Programming and the Random Search in Object Categorization

Gustavo Olague, Eddie Clemente, Daniel E. Hernández, 2017, EvoApplications.

Multiobjective Sensor Planning for Accurate Reconstruction

Gustavo Olague, 2016 .

New Results - Evolutionary mobile robot navigation based on visual landmark detection

Leonardo Trujillo, Gustavo Olague, Evelyne Lutton, 2006 .

Regularity based descriptor computed from local image oscillations.

Leonardo Trujillo, Gustavo Olague, Pierrick Legrand, 2007, Optics express.

ECJ+HADOOP: An Easy Way to Deploy Massive Runs of Evolutionary Algorithms

Leonardo Trujillo, Gustavo Olague, O FranciscoChávezdela, 2016, EvoApplications.

Synthetic-analytic behavior-based control framework: Constraining velocity in tracking for nonholonomic wheeled mobile robots

Gustavo Olague, María del Carmen Rodríguez Liñán, Eddie Clemente, 2019, Inf. Sci..

Optimization of the hölder image descriptor using a genetic algorithm

Leonardo Trujillo, Gustavo Olague, Pierrick Legrand, 2010, GECCO '10.

Evolutionary Feature Selection for Probabilistic Object Recognition, Novel Object Detection and Object Saliency Estimation using GMMs

Francisco Fernández de Vega, Leonardo Trujillo, Gustavo Olague, 2007, BMVC.

Evolving estimators of the pointwise Hölder exponent with Genetic Programming

Leonardo Trujillo, Gustavo Olague, Pierrick Legrand, 2012, Inf. Sci..

Optimizing a Conspicuous Point Detector for Camera Trajectory Estimation with Brain Programming

Gustavo Olague, Eddie Clemente, Daniel E. Hernández, 2012, EVOLVE.

Visual learning of texture descriptors for facial expression recognition in thermal imagery

Leonardo Trujillo, Gustavo Olague, Riad I. Hammoud, 2007, Comput. Vis. Image Underst..

Optimal camera placement for accurate reconstruction

Roger Mohr, Gustavo Olague, R. Mohr, 2002, Pattern Recognit..

Synthesis of interest point detectors through genetic programming

Leonardo Trujillo, Gustavo Olague, L. Trujillo, 2006, GECCO.

Increasing GP Computing Power for Free via Desktop GRID Computing and Virtualization

Juan Julián Merelo Guervós, Pedro A. Castillo, Lourdes Araujo, 2009, 2009 17th Euromicro International Conference on Parallel, Distributed and Network-based Processing.

The Honeybee Search Algorithm for Three-Dimensional Reconstruction

Gustavo Olague, Cesar Puente, Cesar Puente, 2006, EvoWorkshops.

Self-adjusting focus of attention in combination with a genetic fuzzy system for improving a laser environment control device system

Francisco Fernández de Vega, Gustavo Olague, O FranciscoChávezdela, 2015, Appl. Soft Comput..

Odor Plume Tracking Algorithm Inspired on Evolution

José Luis Gordillo, Gustavo Olague, B. Lorena Villarreal, 2014, MCPR.

Brain Programming for the Evolution of an Artificial Dorsal Stream

Gustavo Olague, Eddie Clemente, Daniel E. Hernández, 2014, Cognitive Computation.

CUDA-based parallelization of a bio-inspired model for fast object classification

Gustavo Olague, Benjamín Hernández, Eddie Clemente, 2017, Neural Computing and Applications.

Evolutionary Computation for Sensor Planning: The Task Distribution Plan

Enrique Dunn, Gustavo Olague, 2003, EURASIP J. Adv. Signal Process..

Evolving Visual Attention Programs through EVO Features

Gustavo Olague, Marco Sánchez, Eddie Clemente, 2012, EvoApplications.

Hands-on Artificial Evolution Through Brain Programming

Gustavo Olague, Mariana Chan-Ley, 2019, GPTP.

Evolving an Artificial Dorsal Stream on Purpose for Visual Attention

Gustavo Olague, Eddie Clemente, León Dozal, 2012, EVOLVE.

Evolutionary Associative Memories through Genetic Programming

Juan Humberto Sossa Azuela, Gustavo Olague, Juan Villegas-Cortez, 2011, Parallel Architectures and Bioinspired Algorithms.

Evolutionary Purposive or Behavioral Vision for Camera Trajectory Estimation

Gustavo Olague, Eddie Clemente, Daniel E. Hernández, 2012, EvoApplications.

Discovering Several Robot Behaviors through Speciation

Francisco Fernández de Vega, Leonardo Trujillo, Gustavo Olague, 2008, EvoWorkshops.

Autonomous Photogrammetric Network Design Using Genetic Algorithms

Gustavo Olague, Gustavo Olague, 2001, EvoWorkshops.

Evolutionary computer vision

Gustavo Olague, 2020, GECCO Companion.

Brain programming as a new strategy to create visual routines for object tracking

Gustavo Olague, Eddie Clemente, Daniel E. Hernández, 2018, Multimedia Tools and Applications.

Self-adjusting focus of attention by means of GP for improving a laser point detection system

Francisco Fernández de Vega, Gustavo Olague, O FranciscoChávezdela, 2013, GECCO '13.

Scale Invariance for Evolved Interest Operators

Leonardo Trujillo, Gustavo Olague, L. Trujillo, 2009, EvoWorkshops.

Parisian camera placement for vision metrology

Enrique Dunn, Gustavo Olague, Evelyne Lutton, 2006, Pattern Recognit. Lett..

Evolutionary computer vision

Gustavo Olague, Gustavo Olague, 2009, GECCO '09.

EvoSpace-Interactive: A Framework to Develop Distributed Collaborative-Interactive Evolutionary Algorithms for Artistic Design

Juan Julián Merelo Guervós, Francisco Fernández de Vega, Leonardo Trujillo, 2013, EvoMUSART.

Evolving Conspicuous Point Detectors for Camera Trajectory Estimation

Gustavo Olague, Eddie Clemente, Daniel E. Hernández, 2012, EVOLVE.

Evolutionary multi-objective visual cortex for object classification in natural images

Gustavo Olague, Eddie Clemente, Daniel E. Hernández, 2016, J. Comput. Sci..

Area-Based Collaborative Ubiquitous Work within Organizational Environments

José Rodríguez, Gustavo Olague, Kimberly García, 2009, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology.

Multiclass Object Recognition Based on Texture Linear Genetic Programming

Bir Bhanu, Leonardo Trujillo, Gustavo Olague, 2007, EvoWorkshops.

Evolving Local Descriptor Operators through Genetic Programming

Gustavo Olague, Cynthia B. Pérez, 2009, EvoWorkshops.

Surface Profile Reconstruction from Scattered Intensity Data Using Evolutionary Strategies

Gustavo Olague, Demetrio Macías, Eugenio R. Méndez, 2002, EvoWorkshops.

Optimizing an Artificial Dorsal Stream on Purpose for Visual Attention

Gustavo Olague, Eddie Clemente, León Dozal, 2012, EVOLVE.

Using Evolutionary Computation for Automated Sensor Planing

Enrique Dunn, Gustavo Olague, 2002, GECCO Late Breaking Papers.

Brain Programming is Immune to Adversarial Attacks: Towards Accurate and Robust Image Classification using Symbolic Learning pdf

Gustavo Olague, Carlos Soubervielle-Montalvo, Cesar Puente, 2021, Swarm Evol. Comput..