منابع مشابه
Receptive Field Structures for Recognition
Localized operators, like Gabor wavelets and difference-of-gaussian filters, are considered useful tools for image representation. This is due to their ability to form a sparse code that can serve as a basis set for high-fidelity reconstruction of natural images. However, for many visual tasks, the more appropriate criterion of representational efficacy is recognition rather than reconstruction...
متن کاملReceptive Field Encoding Model for Dynamic Natural Vision
Introduction: Encoding models are used to predict human brain activity in response to sensory stimuli. The purpose of these models is to explain how sensory information represent in the brain. Convolutional neural networks trained by images are capable of encoding magnetic resonance imaging data of humans viewing natural images. Considering the hemodynamic response function, these networks are ...
متن کاملComputer Science and Artificial Intelligence Laboratory Receptive Field Structures for Recognition
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متن کاملObject Recognition Using Multidimensional Receptive Field Histograms
This paper presents a technique to determine the identity of objects in a scene using histograms of the responses of a vector of local linear neighborhood operators (receptive elds). This technique can be used to determine the most probable objects in a scene, independent of the object's position, image-plane orientation and scale. In this paper we describe the mathematical foundations of the t...
متن کامل?. Circular Receptive Field Structures for Flow Analysis and Heading Detection
Recent years have brought forward different models on how the brain might encode heading from optic flow. Neurons in these models can encode heading for a variety of self-motion conditions, while responding to optic flow stimuli similarly as found in electrophysiological studies. Yet, little attention has been given to the receptive field structure of neurons that integrate local motion signals...
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ژورنال
عنوان ژورنال: Neural Computation
سال: 2006
ISSN: 0899-7667,1530-888X
DOI: 10.1162/089976606775623315