[PDF] On the Role of Shape Prototypes in Hierarchical Models of Vision
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Abstract— We investigate the role of learned shape-prototypes in an influential family of hierarchical neural-network models of vision.
Abstract. We investigate the role of learned shape-prototypes in an influential family of hierarchical neural-network models of vision.
We investigate the role of learned shape-prototypes in an influential family of hierarchical neural-network models of vision. Central to these networks' ...
Dec 2, 2013 · The prototypes in the dictionary are redundant if they encode the same shape more than once, and are discriminative if they yield feature values ...
Michael D. Thomure, Melanie Mitchell, Garrett T. Kenyon : On the role of shape prototypes in hierarchical models of vision. IJCNN 2013: 1-6.
HMAX models this property with a dictionary of natural shapes, called prototypes, that respond to the presence of those shapes. The resulting set of similarity ...
On the Role of Shape Prototypes in Hierarchical Models of Vision. Working Paper. Social Learning Strategies Reconcile the Relationship Between Network ...
On the role of shape prototypes in hierarchical models of vision. A hierarchical framework for object recognition · Reza Moazzezi. 2014. Download Free PDF View ...
We present a model which stems from a well-established model of object recognition, HMAX, and show how this feedforward system can include feedback.
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This paper proposes a hierarchical model for the recognition of deformable objects. Object categories are modelled by multiple views, views in turn consist ...