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MLFLHMDA: predicting human microbe-disease association based on multi-view latent feature learning
Published 2024-02-01Subjects: Get full text
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Enhanced Feature Extraction Network Based on Acoustic Signal Feature Learning for Bearing Fault Diagnosis
Published 2023-10-01“…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
Published 2020-10-01“…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
Published 2019-01-01“…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
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Efficient Feature Learning Approach for Raw Industrial Vibration Data Using Two-Stage Learning Framework
Published 2022-06-01Subjects: “…feature learning…”
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Survey on Encoding Schemes for Genomic Data Representation and Feature Learning—From Signal Processing to Machine Learning
Published 2018-09-01Subjects: Get full text
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Mixup Feature: A Pretext Task Self-Supervised Learning Method for Enhanced Visual Feature Learning
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A spatial-temporal linear feature learning algorithm for P300-based brain-computer interfaces
Published 2023-04-01“…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
Published 2020-06-01“…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 Discriminative Feature Learning Approach With Distinguishable Distance Metrics for Remote Sensing Image Classification and Retrieval
Published 2023-01-01“…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
Published 2021-02-01Subjects: Get full text
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Adaptive Deep Co-Occurrence Feature Learning Based on Classifier-Fusion for Remote Sensing Scene Classification
Published 2021-01-01“…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
Published 2022-01-01Subjects: Get full text
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Two‐stage short‐term wind power forecasting algorithm using different feature-learning models
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