Multifractal Functional Connectivity Analysis of Electroencephalogram Reveals Reorganization of Brain Networks in a Visual Pattern Recognition Paradigm [PDF]
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
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The Role of Verbal Instruction and Visual Guidance in Training Pattern Recognition
We used a novel approach to examine whether it is possible to improve the perceptual–cognitive skill of pattern recognition using a video-based training intervention.
Jamie S. North +3 more
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Time series classification through visual pattern recognition
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
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Deep Belief Network Approach for Recognition of Cow using Cow Nose Image Pattern
A deep belief network is proposed to learn the discriminatory cow nose image texture features for a robust representation of cows' features and recognition using a cow nose image pattern.
Rotimi-Williams BELLO +2 more
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The Replica Project: Co-Designing a Discovery Engine for Digital Art History
This article explains how the Replica project is a particular case of different professionals coming together to achieve the digitization of a historical photographic archive, intersecting complementary knowledge specific to normally unconnected ...
Isabella di Lenardo
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An Empirical Study on the Effects of Temporal Trends in Spatial Patterns on Animated Choropleth Maps
Animated cartographic visualization incorporates the concept of geomedia presented in this Special Issue. The presented study aims to examine the effectiveness of spatial pattern and temporal trend recognition on animated choropleth maps. In a controlled
Paweł Cybulski
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Accurate Recognition of Motion Patterns Based on Artificial Visual Neural Network
In order to improve the accuracy of motion pattern recognition, this paper combines the artificial visual neural network to construct a motion pattern recognition system.
Meiqi Li
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Greater eyes-focused eye movement pattern during face recognition is associated with better performance in adults but not in children. We test the hypothesis that higher eye movement consistency across trials, instead of a greater eyes-focused pattern ...
Janet H. Hsiao +4 more
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Statistical Machine Learning for Human Behaviour Analysis
Human behaviour analysis has introduced several challenges in various fields, such as applied information theory, affective computing, robotics, biometrics and pattern recognition [...]
Thomas B. Moeslund +4 more
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Application of an artificial immune system for visual pattern recognition [PDF]
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
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