most citedA swarm optimization algorithm inspired in the behavior of the social-spider

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.NE2014

Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC)

Erik Cuevas, Daniel Zaldivar, Marco Perez +2

Block matching (BM) motion estimation plays a very important role in video coding. In a BM approach, image frames in a video sequence are divided into blocks. For each block in the…

cs.NE2014★ 1 cited

A swarm optimization algorithm inspired in the behavior of the social-spider

Erik Cuevas, Miguel Cienfuegos, Daniel Zaldivar +1

Swarm intelligence is a research field that models the collective behavior in swarms of insects or animals. Several algorithms arising from such models have been proposed to solve…

cs.RO2014

Polynomial trajectory algorithm for a biped robot

Erik Cuevas, Daniel Zaldivar, Marco Perez +1

Building trajectories for biped robot walking is a complex task considering all degrees of freedom (DOFs) commonly bound within the mechanical structure. A typical problem for such…

cs.CV2014

Circle detection on images using Learning Automata

Erik Cuevas, Fernando Wario, Daniel Zaldivar +1

Circle detection over digital images has received considerable attention from the computer vision community over the last few years devoting a tremendous amount of research seeking…

cs.MM2014

Block matching algorithm based on Differential Evolution for motion estimation

Erik Cuevas, Daniel Zaldivar, Marco Perez-Cisneros +1

Motion estimation is one of the major problems in developing video coding applications. Among all motion estimation approaches, Block matching (BM) algorithms are the most popular…