[PDF][PDF] Computing the Concept Lattice using Dendritical Neural Networks.

DE Caro-Contreras, A Mendez-Vazquez - CLA, 2013 - ceur-ws.org
Formal Concept Analysis (FCA) is a new and rich emerging discipline, and it provides e
cient techniques and methods for ecient data analysis under the idea of attributes. The main …

Sparsely connected autoassociative lattice memories with an application for the reconstruction of color images

ME Valle, DM Grande Vicente - Journal of Mathematical Imaging and …, 2012 - Springer
Sparsely connected autoassociative lattice memories (SCALMs) are very general models
defined on complete lattices, a mathematical structure which is obtained by imposing some …

Redundancy in lattice algebra based associative neural networks for image retrieval from noisy inputs

G Urcid, JA Nieves-Vázquez… - Applications of Digital …, 2022 - spiedigitallibrary.org
Since lattice algebra based associative memories can store any number k of associated
vector pairs (x, y), where x is a real n-dimensional vector and y is a real m-dimensional …

Multivariate Data Retrieval Modified by Random Noise using Lattice Autoassociative Memories with Eroded or Dilated Input Residuals

G Urcid, R Morales-Salgado - MATEC Web of …, 2019 - matec-conferences.org
Lattice associative memories were proposed as an alternative approach to work with a set of
associated vector pairs for which the storage and retrieval stages are based in the theory of …

Lattice masking and auto-association for recalling color images in the presence of noise

G Urcid, JAN Vázquez - 2011 Third World Congress on Nature …, 2011 - ieeexplore.ieee.org
Lattice associative memories are artificial neural networks for which the storage and recall
stages, given a finite set X of exemplar images, are defined with lattice algebra operations …