On a model of visual cortex: learning invariance and selectivity
نویسندگان
چکیده
In this paper we present a class of algorithms for similarity learningon spaces of images. The general framework that we introduce is mo-tivated by some well-known hierarchical pre-processing architectures forobject recognition which have been developed during the last decade, andwhich have been in some cases inspired by functional models of the ven-tral stream of the visual cortex. These architectures are characterized by theconstruction of a hierarchy of “local” feature representations of the visualstimulus. We show that our framework includes some well-known tech-niques, and that it is suitable for the analysis of dynamic visual stimuli,presenting a quantitative error analysis in this setting.
منابع مشابه
On a model of visual cortex: learning invariance and selectivity from image sequences
In this paper we present a class of algorithms for similarity learningon spaces of images. The general framework that we introduce is mo-tivated by some well-known hierarchical pre-processing architectures forobject recognition which have been developed during the last decade, andwhich have been in some cases inspired by functional models of the ven-tral stream of the vi...
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