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Cross-View Feature Learning via Structures Unlocking Based on Robust Low-Rank Constraint
Published 2020-01-01Subjects: Get full text
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102
Hybrid Feature-Learning-Based PSO-PCA Feature Engineering Approach for Blood Cancer Classification
Published 2023-08-01Get full text
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103
Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings
Published 2021-08-01“…In this regard, in this work a novel data-driven diagnosis methodology is proposed based on deep feature learning applied to the diagnosis and identification of bearing faults for different bearing technologies, such as metallic, hybrid and ceramic bearings, in electromechanical systems. …”
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104
SemanticCAP: Chromatin Accessibility Prediction Enhanced by Features Learning from a Language Model
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105
Dense Multiscale Feature Learning Transformer Embedding Cross-Shaped Attention for Road Damage Detection
Published 2023-02-01Subjects: “…dense multi-scale feature learning…”
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106
AFL-Net: Attentional Feature Learning Network for Building Extraction from Remote Sensing Images
Published 2022-12-01“…To overcome this challenge, we propose an Attentional Feature Learning Network (AFL-Net) that can accurately extract buildings from remote sensing images. …”
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107
Multi-Scale LBP Texture Feature Learning Network for Remote Sensing Interpretation of Land Desertification
Published 2022-07-01Get full text
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108
Audio-visual multi-modality driven hybrid feature learning model for crowd analysis and classification
Published 2023-05-01“…However, complex and inferior feature learning over visual artefacts or video streams, especially under extreme conditions confine majority of the at-hand vision-based crowd analysis and classification systems. …”
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109
MSF-Net: Multi-Scale Feature Learning Network for Classification of Surface Defects of Multifarious Sizes
Published 2021-07-01“…In this paper, a Multi-Scale Feature Learning Network (MSF-Net) based on Dual Module Feature (DMF) extractor is proposed. …”
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110
Recognition of EEG Signal Motor Imagery Intention Based on Deep Multi-View Feature Learning
Published 2020-06-01“…This paper proposes a new deep multi-view feature learning method for the classification task of motor imagery electroencephalogram (EEG) signals. …”
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111
Fine-Grained Ship Detection in High-Resolution Satellite Images With Shape-Aware Feature Learning
Published 2023-01-01Subjects: Get full text
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112
GCN-Based Heterogeneous Complex Feature Learning to Enhance Predictability for LncRNA–Disease Associations
Published 2023-12-01Get full text
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113
Scattered Train Bolt Point Cloud Segmentation Based on Hierarchical Multi-Scale Feature Learning
Published 2023-02-01Get full text
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114
S-KMN: Integrating semantic features learning and knowledge mapping network for automatic quiz question annotation
Published 2023-07-01“…It integrates semantic features learning and knowledge mapping network (KMN) to extract explicit semantic features and implicit knowledge features of questions,respectively. …”
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115
DIFLD: domain invariant feature learning to detect low-quality compressed face forgery images
Published 2023-07-01“…The model has the following components: (1) a high-frequency invariant feature learning module(hf-IFLM), which effectively retrieves the blurred artifacts in low-quality compressed images; and (2) a high-dimensional feature distribution learning module(hd-FDLM), that guides the network to learn more about the consistent features of distribution. …”
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116
Quality Feature Learning via Multi-Channel CNN and GRU for No-Reference Video Quality Assessment
Published 2023-01-01“…Therefore, in the paper, we propose quality feature learning via a multi-channel convolutional neural network (CNN) with a gated recurrent unit (GRU), taking into account both the motion-aware information and human visual perception (HVP) characteristics to solve the above issue for no-reference VQA. …”
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117
Single Sample Face Recognition and Verification via Feature Learning with Gabor Filter and Kernel Pooling
Published 2023-03-01“…The results demonstrate that the face features learned by our method have excellent discriminative power and strong robustness to the factors such as illumination, occlusion, and age.…”
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119
Anti-Software Attack Ear Identification System Using Deep Feature Learning and Blockchain Protection
Published 2024-01-01“…This paper proposes a software-attack-proof ear recognition system using deep feature learning and blockchain protection to address the problem that the recognition performance of existing systems is generally poor in the face of unconstrained ear databases in realistic scenarios. …”
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120
MLGN: multi-scale local-global feature learning network for long-term series forecasting
Published 2023-01-01“…Furthermore, our proposed method,multi-scale local-global feature learning network (MLGN), achieves a time and memory complexity of O ( L ) and consistently achieve state-of-the-art results on six benchmark datasets. …”
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