Sentence examples for Visual pattern recognition from inspiring English sources

The author previously proposed a neural network model neocognitron for robust visual pattern recognition.

In part, it is because of the difficulties of translating chartists' visual pattern recognition into the mathematics on which academics rely.

(1983) Kunihiko Fukushima, Sei Miyake, and Takayuki Ito, "Neocognitron: a neural network model for a mechanism of visual pattern recognition," IEEE Transactions on Systems, Man, and Cybernetics SMC-13:826-834.

In this paper, we describe and evaluate a new spiking neural network (SNN) architecture and its corresponding learning procedure to perform fast and adaptive multi-view visual pattern recognition.

The symposium will examine cutting-edge processes involving the development and application of digital tools to projects of all scales, including high-resolution 3D scanning, gaming, computer-based visual pattern recognition, blockchain encryption, behavioral geo-tracking or interactive projection mapping among others.

This can happen because human beings are introduced to the information discovery loop to take advantage of their natural strength in creative thinking and rapid visual pattern recognition to discover information not defined a priori and to perform approximated reasoning that computer algorithms are hard to do.

Studies have shown that epidemiologists using human visual pattern-recognition capacities can signal epidemiological alerts from "image walls" presenting local, regional and/or national surveillance patterns even though the patterns passed unnoticed through conventional systems [20].

Trained junior medical staff screened all patients for inattention using (1) Spatial Span Forwards (SSF), a visual pattern-recognition test that assesses visuospatial memory and attention 7 8 and (2) Months Backwards (MB), adapted from the Short Blessed Test for dementia.

In this job you need to have good visual awareness, pattern recognition.

His current research is mainly on image processing, visual perception, pattern recognition, and artificial intelligence.

We then discuss visual learning, visual memory, invariant pattern recognition, selective attention, choice behavior, context generalization, spatial learning, habit formation, cross-modal memory transform, and synergism.