MLFLHMDA: predicting human microbe-disease association based on multi-view latent feature learning by Ziwei Chen, Liangzhe Zhang, Jingyi Li, Mingyang Fu

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Human Action Recognition of Spatiotemporal Parameters for Skeleton Sequences Using MTLN Feature Learning Framework by Faisal Mehmood, Enqing Chen, Muhammad Azeem Akbar, Abeer Abdulaziz Alsanad

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Enhanced Feature Extraction Network Based on Acoustic Signal Feature Learning for Bearing Fault Diagnosis by Yuanqing Luo, Wenxia Lu, Shuang Kang, Xueyong Tian, Xiaoqi Kang, Feng Sun

“…This paper proposes an enhanced feature extraction network (EFEN) for fault diagnosis of rolling bearings based on acoustic signal feature learning. The EFEN network comprises four main components: the data preprocessing module, the information feature selection module (IFSM), the channel attention mechanism module (CAMM), and the convolutional neural network module (CNNM). …”
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Global Co-Occurrence Feature and Local Spatial Feature Learning for Skeleton-Based Action Recognition by Jun Xie, Wentian Xin, Ruyi Liu, Qiguang Miao, Lijie Sheng, Liang Zhang, Xuesong Gao

“…Accordingly, to address these issues, we propose a Global Co-occurrence feature and Local Spatial feature learning model (GCLS) consisting of two branches. …”
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Remote sensing scene classification based on rotation-invariant feature learning and joint decision making by Yong Zhou, Xuning Liu, Jiaqi Zhao, Ding Ma, Rui Yao, Bing Liu, Yi Zheng

“…To overcome this problem, we propose a rotation-invariant feature learning and joint decision-making method based on Siamese convolutional neural networks with the combination of identification and verification models. …”
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Box2Seg: Attention weighted loss and discriminative feature learning for weakly supervised segmentation by Kulharia, V, Chandra, S, Agrawal, A, Torr, PHS, Tyagi, A

Calcification detection of coronary artery disease in intravascular ultrasound image: Deep feature learning approach by Sofian, Hannah, Chia, Joel Ming Than, Mohammad, Suraya, Mohd. Noor, Norliza

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Efficient Feature Learning Approach for Raw Industrial Vibration Data Using Two-Stage Learning Framework by Mohamed-Ali Tnani, Paul Subarnaduti, Klaus Diepold

Subjects: “…feature learning…”
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Survey on Encoding Schemes for Genomic Data Representation and Feature Learning—From Signal Processing to Machine Learning by Ning Yu, Zhihua Li, Zeng Yu

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Mixup Feature: A Pretext Task Self-Supervised Learning Method for Enhanced Visual Feature Learning by Jiashu Xu, Sergii Stirenko

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A spatial-temporal linear feature learning algorithm for P300-based brain-computer interfaces by Seyedeh Nadia Aghili, Sepideh Kilani, Rami N Khushaba, Ehsan Rouhani

“…The novel spatial-temporal linear feature learning (STLFL) algorithm is proposed to extract high-level P300 features. …”
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Robust multitask feature learning for amnestic mild cognitive impairment diagnosis based on multidimensional surface measures by Leiming Jin, Xuetong Wang, Pengbo Jiang, Qiongling Li, Debin Zeng, Shuyu Li

“…Considering the actual situation that we do not know the correlation between tasks in advance, we use a robust multitask feature learning (rMTFL) method to select a group of features among correlated measures and provide additional information by identifying outlier tasks at the same time. …”
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A Deep Feature Learning Method for Drill Bits Monitoring Using the Spectral Analysis of the Acoustic Signals by Caleb Vununu, Kwang-Seok Moon, Suk-Hwan Lee, Ki-Ryong Kwon

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A Discriminative Feature Learning Approach With Distinguishable Distance Metrics for Remote Sensing Image Classification and Retrieval by Zhiqi Zhang, Wen Lu, Xiaoxiao Feng, Jinshan Cao, Guangqi Xie

“…For better CBIR performance, we propose a discriminative feature learning approach with distinguishable distance metrics for remote sensing image classification and retrieval. …”
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Multichannel False-target Discrimination in SAR Images Based on Sub-aperture and Full-aperture Feature Learning by Lin MA, Zongxu PAN, Zhongling HUANG, Bing HAN, Yuxin HU, Xiao ZHOU, Bin LEI

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Multi-Semantic Discriminative Feature Learning for Sign Gesture Recognition Using Hybrid Deep Neural Architecture by E. Rajalakshmi, R. Elakkiya, V. Subramaniyaswamy, L. Prikhodko Alexey, Grif Mikhail, Maxim Bakaev, Ketan Kotecha, Lubna Abdelkareim Gabralla, Ajith Abraham

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Adaptive Deep Co-Occurrence Feature Learning Based on Classifier-Fusion for Remote Sensing Scene Classification by Ronald Tombe, Serestina Viriri

“…This article proposes the adaptive deep co-accordance feature learning (ADCFL). The ADCFL method utilizes a convolutional neural network to extract spatial feature information from an image in a co-occurrence manner with filters, and then this information is fed to the multigrain forest for feature learning and classification through majority votes with ensemble classifiers. …”
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Semantic Segmentation of Very-High-Resolution Remote Sensing Images via Deep Multi-Feature Learning by Yanzhou Su, Jian Cheng, Haiwei Bai, Haijun Liu, Changtao He

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Two‐stage short‐term wind power forecasting algorithm using different feature-learning models by Jiancheng Qin, Jin Yang, Ying Chen, Qiang Ye, Hua Li

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An Attention-Enhanced End-to-End Discriminative Network With Multiscale Feature Learning for Remote Sensing Image Retrieval by Dongyang Hou, Siyuan Wang, Xueqing Tian, Huaqiao Xing

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