Learning sequences of sparse correlated patterns using small-world attractor neural networks: An application to traffic videos

Article

Abstract: The goal of this work is to learn and retrieve a sequence of highly correlated patterns using a Hopf

Palabras claves:

Attractor network, Correlated patterns, small-world, Sparse-coding, Temporal sequence, Traffic analysis, Video retrieval

Autores:

Dominguez D., Mario González-Rodríguez, Sanchez A.

Fuentes:

google

scopus