no code implementations • 30 Aug 2020 • Edgar Galván, Oxana Gorshkova, Peter Mooney, Fred Valdez Ameneyro, Erik Cuevas
Furthermore, we tackle the former limitation by employing a mechanism that allows us to seed part of the population using Monte Carlo Tree Search, a method that has dominated multiple General Video Game AI competitions.
no code implementations • 30 Jun 2014 • Erik Cuevas, Mauricio Gonzalez
Interest in multimodal function optimization is expanding rapidly since real world optimization problems often demand locating multiple optima within a search space.
no code implementations • 30 Jun 2014 • Erik Cuevas, Daniel Zaldivar, Marco Perez, Humberto Sossa, Valentin Osuna
Therefore, BM motion estimation can be approached as an optimization problem, where the goal is to find the best matching block within a search space.
no code implementations • 26 Jun 2014 • Erik Cuevas, Margarita Diaz, Miguel Manzanares, Daniel Zaldivar, Marco Perez
This paper presents an algorithm for the automatic detection of WBC embedded into complicated and cluttered smear images that considers the complete process as a multi-ellipse detection problem.
no code implementations • 25 Jun 2014 • Erik Cuevas, Felipe Sencion-Echauri, Daniel Zaldivar, Marco Perez Cisneros
Unlike the original ABC algorithm, the proposed approach presents the addition of a memory for discarded solutions.
no code implementations • 24 Jun 2014 • Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Valentin Osuna
Such samples build each particle in the EMO context whereas its quality is evaluated considering the objective that is function employed by the Otsu or Kapur method.
no code implementations • 17 Jun 2014 • Erik Cuevas
Therefore, BM motion estimation can be viewed as an optimization problem whose goal is to find the best-matching block within a search space.
1 code implementation • 12 Jun 2014 • Erik Cuevas, Miguel Cienfuegos, Daniel Zaldivar, Marco Perez
In the proposed algorithm, individuals emulate a group of spiders which interact to each other based on the biological laws of the cooperative colony.
no code implementations • 30 May 2014 • Erik Cuevas, Diego Oliva, Daniel Zaldivar, Marco Perez-Cisneros, Humberto Sossa
The EMO algorithm is used to find the circle candidate that is better related with the real circle present in the image according to the objective function.
no code implementations • 28 May 2014 • Erik Cuevas, Daniel Zaldivar, Marco Perez
In this approach, one 1D histogram of a given image is approximated through a Gaussian mixture model whose parameters are calculated using the LA algorithm.
no code implementations • 28 May 2014 • Valentín Osuna-Enciso, Erik Cuevas, Humberto Sossa
In the field of image analysis, segmentation is one of the most important preprocessing steps.
no code implementations • 28 May 2014 • Erik Cuevas, Noe Ortega, Daniel Zaldivar, Marco Perez
Guided by the values of this objective function, the set of encoded candidate circles are evolved using the HSA so that they can fit to the actual circles on the edge map of the image (optimal harmony).
no code implementations • 28 May 2014 • Erik Cuevas, Daniel Zaldivar, Marco Perez, Marte Ramirez
Experimental results on several synthetic and natural images with varying range of complexity validate the efficiency of the proposed technique considering accuracy, speed, and robustness.
no code implementations • 28 May 2014 • Erik Cuevas, Felipe Sencion, Daniel Zaldivar, Marco Perez, Humberto Sossa
This paper explores the use of the Artificial Bee Colony (ABC) algorithm to compute threshold selection for image segmentation.
no code implementations • 21 May 2014 • Erik Cuevas, Daniel Zaldivar, Marco Perez, Edgar Sanchez, Marte Ramirez
Reliable corner detection is an important task in determining the shape of different regions within an image.
no code implementations • 21 May 2014 • Erik Cuevas, Fernando Wario, Valentin Osuna, Daniel Zaldivar, Marco Perez
The detection process is considered as a multi-modal optimization problem, allowing the detection of multiple circular shapes through only one optimization procedure.
no code implementations • 21 May 2014 • Erik Cuevas, Fernando Wario, Daniel Zaldivar, Marco Perez
Guided by the values of such reinforcement signal, the probability set of the encoded candidate circles is modified through the LA algorithm so that they can fit to the actual circles on the edge map.
no code implementations • 20 May 2014 • Erik Cuevas, Maurici Gonzalez, Daniel Zaldivar, Marco Perez
This paper presents a novel and effective technique for extracting multiple ellipses from an image.
no code implementations • 20 May 2014 • Erik Cuevas, Diego Oliva, Daniel Zaldivar, Marco Perez, Gonzalo Pajares
Electromagnetismlike Optimization (EMO) is a global optimization algorithm, particularly well suited to solve problems featuring nonlinear and multimodal cost functions.
no code implementations • 20 May 2014 • Erik Cuevas, Alonso Echavarria, Marte A. Ramirez-Ortegon
In each state, molecules (individuals) exhibit different movement capacities.