Electrical synapses for a pooling layer of the convolutional neural network in retinas
Frontiers 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
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Trainable COSFIRE Filters for Keypoint Detection and Pattern Recognition [PDF]
, 2013 Background: Keypoint detection is important for many computer vision applications. Existing methods suffer from insufficient selectivity regarding the shape properties of features and are vulnerable to contrast variations and to the presence of noise or ...
Azzopardi, George, +6 more
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Frontiers 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
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Sparse distributed localized gradient fused features of objects [PDF]
, 2015 The sparse, hierarchical, and modular processing of natural signals is related to the ability of humans to recognize objects with high accuracy. In this study, we report a sparse feature processing and encoding method, which improved the recognition ...
Pappachen James, Alex +2 more
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2nd International Conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding (VIPERC 2023) [PDF]
, 2023 This document presents the 2nd International Conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding (VIPERC 2023), a premier forum for presenting the state-of-the-art, new research, ongoing work, academic and project ...
Virgili L. +3 more
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Exploring pattern recognition: what is the relationship between the recognition of words, faces and other objects? [PDF]
, 2022 Debate surrounds processes of visual recognition, with no consensus as to whether recognition of distinct object categories (faces, bodies, cars, and words) is domain specific or subserved by domain-general visual recognition mechanisms.
Lipka, S. +4 more
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1st International Virtual Conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding (VIPERC 2022) [PDF]
, 2022 This document introduces the 1st International Virtual Conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding (VIPERC 2022), a premier forum for presenting the state-of-the-art, new research, ongoing work, academic ...
Montelpare S., Amelio A., Ursino D.
core
Keypoint induced distance profiles for visual recognition [PDF]
, 2009 We show that histograms of keypoint descriptor distances can make useful features for visual recognition. Descriptor distances are often exhaustively computed between sets of keypoints, but besides finding the k-smallest distances the structure of the ...
Tat-Jun Chin +5 more
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New Area Based Metrics for Automatic Gait Recognition [PDF]
, 2001 Gait is a new biometric aimed to recognise a subject by the manner in which they walk. Gait has several advantages over other biometrics, most notably that it is non-invasive and perceivable at a distance when other biometrics are obscured.
Foster, Jeff P. +5 more
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Interactive, Multiscale Urban-Traffic Pattern Exploration Leveraging Massive GPS Trajectories
Sensors, 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
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