Ricardo Pérez-Aguila

13 papers C 1Misc 1Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2016 J jnl
Automatic Representation and Segmentation of Video Sequences via a Novel Framework Based on the nD-EVM and Kohonen Networks.
Adv. Artif. Intell.
José-Yovany Luis-García, Ricardo Pérez-Aguila
2015 J jnl
Concise and Accessible Representations for Multidimensional Datasets: Introducing a Framework Based on the nD-EVM and Kohonen Networks.
Appl. Comput. Intell. Soft Comput.
Ricardo Pérez-Aguila, Ricardo Ruiz Rodríguez
2013 J jnl
Novel Discrete Compactness-Based Training for Vector Quantization Networks: Enhancing Automatic Brain Tissue Classification.
Adv. Artif. Neural Syst.
Ricardo Pérez-Aguila
2011 J jnl
Efficient Boundary Extraction from Orthogonal Pseudo-Polytopes: An Approach Based on the
J. Appl. Math.
Ricardo Pérez-Aguila
2009 — conf
Brain Tissue Characterization via Non-supervised One-Dimensional Kohonen Networks.
CONIELECOMP
Ricardo Pérez-Aguila
2008 — conf
Orthogonal Polyhedra in
CGIV/MCS
Ricardo Pérez-Aguila
2007 J jnl
One-Dimensional Kohonen Networks and Their Application to Automatic Classification of Images.
Eng. Lett.
Ricardo Pérez-Aguila, Pilar Gómez-Gil, Antonio Aguilera
2007 J jnl
Representing and Visualizing Vectorized Videos through the Extreme Vertices Model in the n-Dimensional Space (nD-EVM).
Res. Comput. Sci.
Ricardo Pérez-Aguila
2005 — conf
A Procedure for Comparing Color 2-Dimensional Images through Their Extrusions to the 5-Dimensional Colorspace.
CONIELECOMP
Antonio Aguilera, Santos Gerardo Lázzeri Menéndez, Ricardo Pérez-Aguila
2005 C conf
Non-supervised Classification of 2D Color Images Using Kohonen Networks and a Novel Metric.
CIARP
Ricardo Pérez-Aguila, Pilar Gómez-Gil, Antonio Aguilera Ramírez
2004 — conf
General n-Dimensional Rotations.
WSCG (Short Papers)
Antonio Aguilera, Ricardo Pérez-Aguila
2004 — conf
Representing and Computing Some Configuration Properties for the n-Dimensional Orthogonal Pseudo-Polytopes.
CONIELECOMP
Antonio Aguilera, Ricardo Pérez-Aguila
2002 Misc conf
A Method for Obtaining the Tesseract by Unraveling the 4D Hypercube.
WSCG
Antonio Aguilera Ramírez, Ricardo Pérez-Aguila