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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...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Springer-Verlag
2011
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| 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 |