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Biased Competition in Visual Processing Hierarchies: A Learning Approach Using Multiple Cues

In this contribution, we present a large-scale hierarchical system for object detection fusing bottom-up (signal-driven) processing results with top-down (model or task-driven) attentional modulation. Specifically, we focus on the question of how the autonomous learning of invariant models can be em...

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Detalles Bibliográficos
Autores principales: Gepperth, Alexander R. T., Rebhan, Sven, Hasler, Stephan, Fritsch, Jannik
Formato: Texto
Lenguaje:English
Publicado: Springer-Verlag 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059758/
https://www.ncbi.nlm.nih.gov/pubmed/21475682
http://dx.doi.org/10.1007/s12559-010-9092-x