Image Representation in Hypercolumnar Structure by Means of Associative Memory
نویسنده
چکیده
We propose a pattern recognition system based on an architecture close to the one found in human visual cortex which is called Hypercolumns. We use this discrete parametric representation in connection with a sparsley coding associative memory. In principle the application of such a representation appears to be very well suited for data reduction and pattern recognition processes and is part of a neural instruction set 2].
منابع مشابه
Saccadic Object Recognition with an Active Vision System
We propose an active vision system for saccadic camera gaze shifts and explorative scene analysis as a new integral approach to image understanding. The model consists of two sensory subsystems: preattentive peripheral feature detection and high resolution foveal image identiication based on a hypercolumnar representation. Visual objects are non{explicitly stored in two sparsely coded associati...
متن کاملSituation and Text: Representation of Migrants Whilst the Escalation of Refugee Crisis in Great Britain as Compared to Russia
Increasing migration is a vital concern for a globalizing sociocultural environment in today’s world. The UK and developed European countries have become an attractive destination for asylum seekers (labelled as “migrants”) in the past decade. The rapid rise in the number of asylum seekers, which was labelled “migration crisis” (Ruz, 2015), made this topic an integral part of scientific discuss...
متن کاملAttractor dynamics in a modular network model of the cerebral cortex
Computational models of cortical associative memory often take a top-down approach. We have previously described such an abstract model with a hypercolumnar structure. Here we explore a similar, biophysically detailed but subsampled network model of neocortex. We study how the neurodynamics and associative memory properties of this biophysical model relate to the abstract model as well as to ex...
متن کاملFast Reconstruction of SAR Images with Phase Error Using Sparse Representation
In the past years, a number of algorithms have been introduced for synthesis aperture radar (SAR) imaging. However, they all suffer from the same problem: The data size to process is considerably large. In recent years, compressive sensing and sparse representation of the signal in SAR has gained a significant research interest. This method offers the advantage of reducing the sampling rate, bu...
متن کاملAssociative learning and memory duration of Trichogramma brassicae
Learning ability and memory duration are two inseparable factors which can increase theefficiency of a living organism during its lifetime. Trichgramma brassice Bezdenko (Hym.:Trichogrammatidae) is a biological control agent widely used against different pest species.This research was conducted to study the olfactory associative learning ability and memoryduration of T. brassicae under laborato...
متن کامل