Results 1 to 10 of about 195,131 (299)

Fault Detection of a Spherical Tank Using a Genetic Algorithm-Based Hybrid Feature Pool and k-Nearest Neighbor Algorithm

open access: yesEnergies, 2019
Fault detection in metallic structures requires a detailed and discriminative feature pool creation mechanism to develop an effective condition monitoring system.
Md Junayed Hasan, Jong-Myon Kim
doaj   +5 more sources

A Hybrid Feature Pool-Based Emotional Stress State Detection Algorithm Using EEG Signals [PDF]

open access: yesBrain Sciences, 2019
Human stress analysis using electroencephalogram (EEG) signals requires a detailed and domain‐specific information pool to develop an effective machine learning model.
Hasan, Md Junayed Hasan, Jong-Myon Kim
exaly   +5 more sources

Welding Defect Monitoring Based on Multi-Scale Feature Fusion of Molten Pool Videos

open access: yesSensors
Real-time quality monitoring through molten pool images is a critical focus in researching high-quality, intelligent automated welding. However, challenges such as the dynamic nature of the molten pool, changes in camera perspective, and variations in ...
Chenbo Shi   +6 more
doaj   +4 more sources

The Transmission of Substrate Features

open access: yesJournal of Modern Languages, 2020
Theories of the formation of creole syntax have been proposed to explain whether substrates and superstrates influence the resultant creole structures, and if so, what the mechanisms are by which they influence them.
Robert Laub
doaj   +14 more sources

Feature fusion network based on strip pooling [PDF]

open access: yesScientific Reports, 2021
AbstractContextual information is a key factor affecting semantic segmentation. Recently, many methods have tried to use the self-attention mechanism to capture more contextual information. However, these methods with self-attention mechanism need a huge computation.
Gaihua Wang, Qianyu Zhai
openaire   +3 more sources

Bregman pooling: feature-space local pooling for image classification [PDF]

open access: yesInternational Journal of Multimedia Information Retrieval, 2015
In this paper, we propose a novel feature-space local pooling method for the commonly adopted architecture of image classification. While existing methods partition the feature space based on visual appearance to obtain pooling bins, learning more accurate space partitioning that takes semantics into account boosts performance even for a smaller number
Alameen Najjar   +2 more
openaire   +2 more sources

FEATURE DESCRIPTOR BY CONVOLUTION AND POOLING AUTOENCODERS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Abstract. In this paper we present several descriptors for feature-based matching based on autoencoders, and we evaluate the performance of these descriptors. In a training phase, we learn autoencoders from image patches extracted in local windows surrounding key points determined by the Difference of Gaussian extractor.
L. Chen, F. Rottensteiner, C. Heipke
openaire   +3 more sources

Pooled motion features for first-person videos [PDF]

open access: yes2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
In this paper, we present a new feature representation for first-person videos. In first-person video understanding (e.g., activity recognition), it is very important to capture both entire scene dynamics (i.e., egomotion) and salient local motion observed in videos. We describe a representation framework based on time series pooling, which is designed
Michael S. Ryoo   +2 more
openaire   +2 more sources

Three-Dimensional Reconstruction of Welding Pool Surface by Binocular Vision

open access: yesChinese Journal of Mechanical Engineering, 2021
Current research of binocular vision systems mainly need to resolve the camera’s intrinsic parameters before the reconstruction of three-dimensional (3D) objects.
Zunan Gu, Ji Chen, Chuansong Wu
doaj   +1 more source

Adaptive Decision Support System for On-Line Multi-Class Learning and Object Detection

open access: yesApplied Sciences, 2021
A new online multi-class learning algorithm is proposed with three main characteristics. First, in order to make the feature pool fitter for the pattern pool, the adaptive feature pool is proposed to dynamically combine the three general features, Haar ...
Guo-Jhang Hong   +5 more
doaj   +1 more source

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