Results 1 to 10 of about 1,347,345 (241)

Ventral and Dorsal Stream EEG Channels: Key Features for EEG-Based Object Recognition and Identification

open access: diamondIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Object recognition and object identification are multifaceted cognitive operations that require various brain regions to synthesize and process information. Prior research has evidenced the activity of both visual and temporal cortices during these tasks.
Daniel Leong   +2 more
doaj   +2 more sources

A Web Application for Watermark Recognition [PDF]

open access: yesJournal of Data Mining and Digital Humanities, 2020
The study of watermarks is a key step for archivists and historians as it enables them to reveal the origin of paper. Although highly practical, automatic watermark recognition comes with many difficultiesand is still considered an unsolved challenge ...
Oumayma Bounou   +10 more
doaj   +1 more source

Breast mass classification based on supervised contrastive learning and multi‐view consistency penalty on mammography

open access: yesIET Biometrics, 2022
Breast cancer accounts for the largest number of patients among all cancers in the world. Intervention treatment for early breast cancer can dramatically extend a woman's 5‐year survival rate.
Lilei Sun   +6 more
doaj   +1 more source

Two‐view attention‐guided convolutional neural network for mammographic image classification

open access: yesCAAI Transactions on Intelligence Technology, 2023
Deep learning has been widely used in the field of mammographic image classification owing to its superiority in automatic feature extraction. However, general deep learning models cannot achieve very satisfactory classification results on mammographic ...
Lilei Sun   +6 more
doaj   +1 more source

Few-parameter learning for a hierarchical perceptual grouping system

open access: yesMathematical Biosciences and Engineering, 2023
Perceptual grouping along well-established Gestalt laws provides one set of traditional methods that provide a tiny set of meaningful parameters to be adjusted for each application field. More complex and challenging tasks require a hierarchical setting,
Eckart Michaelsen
doaj   +1 more source

Geospatial and Image Data from the “When Computers Dream of Charcoal: Using Deep Learning, Open Tools and Open Data to Identify Relict Charcoal Hearths in and Around State Game Lands in Pennsylvania” Paper

open access: yesJournal of Open Archaeology Data, 2021
These data were used to build an object detection model to locate Relict Charcoal Hearths (RCH) as described in the paper “When Computers Dream of Charcoal: Using Deep Learning, Open Tools and Open Data to Identify Relict Charcoal Hearths in and around ...
Weston Conner   +2 more
doaj   +1 more source

Color-based object recognition [PDF]

open access: yesPattern Recognition, 1997
Abstract The purpose is to arrive at recognition of multicolored objects invariant to a substantial change in viewpoint, object geometry and illumination. Assuming dichromatic reflectance and white illumination, it is shown that normalized color rgb, saturation S and hue H, and the newly proposed color models c 1 c 2 c 3 and
Gevers, Th., Smeulders, A.W.M.
openaire   +4 more sources

Some Reiteration Theorems for R, L, RR, RL, LR, and LL Limiting Interpolation Spaces

open access: yesJournal of Function Spaces, 2021
We consider the K-interpolation methods involving slowly varying functions. We establish some reiteration formulae including so-called L or R limiting interpolation spaces as well as the RR, RL, LR, and LL extremal interpolation spaces.
Leo R. Ya. Doktorski
doaj   +1 more source

Multiview-Learning-Based Generic Palmprint Recognition: A Literature Review

open access: yesMathematics, 2023
Palmprint recognition has been widely applied to security authentication due to its rich characteristics, i.e., local direction, wrinkle, and texture.
Shuping Zhao, Lunke Fei, Jie Wen
doaj   +1 more source

CGENet: A Deep Graph Model for COVID-19 Detection Based on Chest CT

open access: yesBiology, 2021
Accurate and timely diagnosis of COVID-19 is indispensable to control its spread. This study proposes a novel explainable COVID-19 diagnosis system called CGENet based on graph embedding and an extreme learning machine for chest CT images. We put forward
Si-Yuan Lu   +3 more
doaj   +1 more source

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