Results 21 to 30 of about 1,098,703 (325)

Application of an artificial immune system for visual pattern recognition [PDF]

open access: yesКомпьютерная оптика, 2018
The suitability of artificial immune systems for recognizing visual patterns is discussed. A new algorithm and software implementation of an artificial immune system have been proposed based on which real-time pattern recognition can be done using a Web ...
Rostislav Mikherskii
doaj   +1 more source

Electrical synapses for a pooling layer of the convolutional neural network in retinas

open access: yesFrontiers in Cellular Neuroscience, 2023
We have an example of a synergetic effect between neuroscience and connectome via artificial intelligence. The invention of Neocognitron, a machine learning algorithm, was inspired by the visual cortical circuitry for complex cells to be made by ...
Yoshihiko Tsukamoto   +2 more
doaj   +1 more source

Global precedence in visual pattern recognition [PDF]

open access: yesPerception & Psychophysics, 1984
This paper describes the results of three experiments on the global precedence effect, using stimuli derived from the receptive field characteristics of neurons in the visual cortex. Thus, the local cue consists of oriented line segments whose sizes correspond to the average size of the central portion of receptive fields in parafoveal representations ...
John C. Baird   +3 more
openaire   +3 more sources

Multifractal Functional Connectivity Analysis of Electroencephalogram Reveals Reorganization of Brain Networks in a Visual Pattern Recognition Paradigm

open access: yesFrontiers in Human Neuroscience, 2021
The human brain consists of anatomically distant neuronal assemblies that are interconnected via a myriad of synapses. This anatomical network provides the neurophysiological wiring framework for functional connectivity (FC), which is essential for ...
Orestis Stylianou   +12 more
doaj   +1 more source

On deformable models for visual pattern recognition [PDF]

open access: yesPattern Recognition, 2002
This paper reviews model-based methods for non-rigid shape recognition. These methods model, match and classify non-rigid shapes, which are generally problematic for conventational algorithms using rigid models. Issues including model representation, optimization criteria formulation, model matching, and classification are examined in detail with the ...
Yeung, DY, Chin, RT, Cheung, KW
openaire   +4 more sources

Spatiotemporal neural dynamics of object recognition under uncertainty in humans

open access: yeseLife, 2023
While there is a wealth of knowledge about core object recognition—our ability to recognize clear, high-contrast object images—how the brain accomplishes object recognition tasks under increased uncertainty remains poorly understood.
Yuan-hao Wu, Ella Podvalny, Biyu J He
doaj   +1 more source

Interactive, Multiscale Urban-Traffic Pattern Exploration Leveraging Massive GPS Trajectories

open access: yesSensors, 2020
Urban traffic pattern reflects how people move and how goods are transported, which is crucial for traffic management and urban planning. With the development of sensing techniques, accumulated sensor data are captured for monitoring vehicles, which also
Qi Wang, Min Lu, Qingquan Li
doaj   +1 more source

Deficits in Face Recognition and Consequent Quality-of-Life Factors in Individuals with Cerebral Visual Impairment

open access: yesVision, 2023
Individuals with cerebral visual impairment (CVI) frequently report challenges with face recognition, and subsequent difficulties with social interactions.
Corinna M. Bauer   +5 more
doaj   +1 more source

Influence of kinship and MHC class II genotype on visual traits in zebrafish larvae (Danio rerio). [PDF]

open access: yesPLoS ONE, 2012
Kin recognition can drive kin selection and the evolution of social behaviour. In zebrafish (Danio rerio, Hamilton 1822), kin recognition is based on olfactory and visual imprinting processes.
Cornelia Hinz   +4 more
doaj   +1 more source

Time series classification through visual pattern recognition

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
In this paper, a new approach to time series classification is proposed. It transforms the scalar time series into a two-dimensional space of amplitude (time series values) and a change of amplitude (increment).
Agnieszka Jastrzebska
doaj  

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