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

Neurocomputing

Volumn 74, Issue 14-15, 2011, Pages 2361-2367

  González, Mario ^a   Dominguez, David ^a   Sánchez, Ángel ^b  

^a UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

^b UNIVERSIDAD REY JUAN CARLOS   (Spain)

Author keywords

Attractor network; Correlated patterns; Small world; Sparse coding; Temporal sequence; Traffic analysis; Video retrieval

Indexed keywords

ATTRACTOR NETWORKS; CORRELATED PATTERNS; SMALL WORLDS; SPARSE-CODING; TEMPORAL SEQUENCE; TRAFFIC ANALYSIS; VIDEO RETRIEVAL;

HOPFIELD NEURAL NETWORKS;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; INFORMATION RETRIEVAL; INFORMATION STORAGE; LEARNING ALGORITHM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PRIORITY JOURNAL; TRAFFIC; VIDEORECORDING;

EID: 79957954909     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.03.014     Document Type: Article

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