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Efficient Feature Selection and Classification for Vehicle Detection [PDF]
, 2014 The focus of this work is on the problem of Haar-like feature selection and classification for vehicle detection. Haar-like features are particularly attractive for vehicle detection because they form a compact representation, encode edge and structural ...
Shao, Ling +3 more
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Efficient CNN with uncorrelated Bag of Features pooling
2022 IEEE Symposium Series on Computational Intelligence (SSCI), 2022 6 pages, 2 ...
Laakom, Firas +4 more
openaire +3 more sources
IEEE Access, 2020 This paper proposes a three-stage fault diagnosis strategy for multistage centrifugal pumps. First, the proposed method identifies and selects fault characteristic modes of vibration to overcome the substantial noise produced by other unrelated macro ...
Zahoor Ahmad +3 more
doaj +1 more source
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Graph Convolutional Network (GCN) excels at EEG recognition by capturing brain connections, but previous studies neglect the important EEG feature itself.
Deng Pan +6 more
doaj +1 more source
Boosting with a joint feature pool from different sensors
, 2022 S.63-72This paper introduces a new way to apply boosting to a joint feature pool from different sensors, namely 3D range data and color vision. The combination of sensors strengthens the systems universality, since an object category could be partially ...
Frintrop, S., Klein, D.A., Schulz, D.
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IEEE Access, 2021 As an important pre-processing step in clinical applications, automatic and accurate 3D cardiovascular image segmentation has attracted more and more attention.
Jingjing Liu +3 more
doaj +1 more source
Hybrid Feature Selection Framework for Bearing Fault Diagnosis Based on Wrapper-WPT
Machines, 2022 A framework aimed to improve the bearing-fault diagnosis accuracy using a hybrid feature-selection method based on Wrapper-WPT is proposed in this paper.
Andrei S. Maliuk +2 more
doaj +1 more source
EGFAFS: A Novel Feature Selection Algorithm Based on Explosion Gravitation Field Algorithm
Entropy, 2022 Feature selection (FS) is a vital step in data mining and machine learning, especially for analyzing the data in high-dimensional feature space. Gene expression data usually consist of a few samples characterized by high-dimensional feature space.
Lan Huang, Xuemei Hu, Yan Wang, Yuan Fu
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A Hybrid CNN–LSTM Algorithm for Online Defect Recognition of CO2 Welding
Sensors, 2018 At present, realizing high-quality automatic welding through online monitoring is a research focus in engineering applications. In this paper, a CNN⁻LSTM algorithm is proposed, which combines the advantages of convolutional neural networks (CNNs ...
Tianyuan Liu +3 more
doaj +1 more source
Discriminant Feature Extraction for Centrifugal Pump Fault Diagnosis
IEEE Access, 2020 Raw statistical features can imitate the amplitude, average, energy and time, and frequency series distribution of a raw vibration signal. However, these raw statistical features are either not very sensitive to weak incipient faults or are unsuitable ...
Zahoor Ahmad +3 more
doaj +1 more source