In this paper, we present a systematic literature review concerning 3D object recognition and
classification. We cover articles published between 2006 and 2016 available in three …

Classical bidirectional associative memories (BAM) have poor memory storage capacity, are
sensitive to noise, are subject to spurious steady states during recall, and can only recall …

The brain is not a huge fixed neural network, but a dynamic, changing neural network that
continuously adapts to meet the demands of communication and computational needs. In …

Visual attention is a powerful mechanism that enables perception to focus on a small subset
of the information picked up by our eyes. It is directly related to the accuracy of an object …

Recently, it was shown how some metaphors, adopted from the infant vision system, were
useful for face recognition. In this paper we adopt those biological hypotheses and apply …

An associative memory AM is a type of neural network commonly used for recalling output
patterns from input patterns that might be altered by noise. Most of these models have …

A view-based method for 3D object recognition based on some biological aspects of infant
vision is proposed in this paper. The biological hypotheses of this method are based on the …

An associative memory is a particular type of neural network for recalling output patterns
from input patterns that might be altered by noise. During the last 50 years, several …

II. METHODOLOGY The methodology applied in this technical report is based on the
methodology described by Kitchenham [1] for systematic literature review. Kitchenham's …

An associative memory (AM) is a special kind of neural network that allows associating an
output pattern with an input pattern. In the last years, several associative models have been …