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441
Convolutional Autoencoder-Based Flaw Detection for Steel Wire Ropes
Published 2020-11-01“…Comparisons of various methods showed the CDAE-iForest method performed better in discriminative feature learning and flaw isolation with a small amount of flaw training data.…”
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442
Scale variant vehicle object recognition by CNN module of multi-pooling-PCA process
Published 2023-12-01“…The recognition of the same vehicle at different scales requires feature learning with scale invariance. Unlike existing feature vector methods, the normalized PCA eigenvalues calculated from feature maps are used to extract scale-invariant features. …”
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443
An intelligent system control method based on visual sensor
Published 2023-10-01“…The experimental results show that our proposed algorithm has improved its overall performance through video feature learning and clustering. It not only pays more attention to video spatial information to enhance the discrimination ability of learned video representations, such as scenes and objects, but also improves the tracking performance of visual sensors under various interference attributes.…”
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444
Research on Physical Education Teaching in Universities Based on Deep Learning
Published 2024-01-01“…In this paper, we utilize deep learning methods to perform automatic feature learning from multi-source heterogeneous data, mapping different data into the same hidden space, and obtaining the deep features of the data associated with students and sports. …”
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445
Visible and Infrared Object Tracking Based on Multimodal Hierarchical Relationship Modeling
Published 2024-03-01“…Through the incorporation of multiple Transformer encoders and the deployment of self-attention mechanisms, we progressively aggregate and fuse multimodal image features at various stages of image feature learning. Throughout the process of multimodal interaction within the network, we employ a dynamic component feature fusion module at the patch-level to dynamically assess the relevance of visible information within each region of the tracking scene. …”
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446
Multiview-Learning-Based Generic Palmprint Recognition: A Literature Review
Published 2023-03-01“…Seeking to handle the long-standing interference information in the images, multiview palmprint feature learning has been proposed to enhance the feature expression by exploiting multiple characteristics from diverse views. …”
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447
Stock Price Movement Prediction Based on a Deep Factorization Machine and the Attention Mechanism
Published 2021-04-01“…In this paper, we constructed a convolutional neural network model based on a deep factorization machine and attention mechanism (FA-CNN) to improve the prediction accuracy of stock price movement via enhanced feature learning. Unlike most previous studies, which focus only on the temporal features of financial time series data, our model also extracts intraday interactions among input features. …”
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448
DeepDiffusion: Unsupervised Learning of Retrieval-Adapted Representations via Diffusion-Based Ranking on Latent Feature Manifold
Published 2022-01-01“…To obtain such retrieval-adapted features, we introduce the idea of combining diffusion distance on a feature manifold with neural network-based unsupervised feature learning. This idea is realized as a novel algorithm called DeepDiffusion (DD). …”
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449
SAP-Net: A Simple and Robust 3D Point Cloud Registration Network Based on Local Shape Features
Published 2021-10-01“…In addition, the registration method based on the feature learning of PointNet cannot directly or effectively extract local features. …”
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450
Self-Supervised Cluster-Contrast Distillation Hashing Network for Cross-Modal Retrieval
Published 2023-01-01“…The method utilizes the clustering results to guide feature learning in an appropriately designed contrast framework. …”
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451
Incremental Canonical Correlation Analysis
Published 2020-11-01“…Canonical correlation analysis (CCA) is a kind of a simple yet effective multiview feature learning technique. In general, it learns separate subspaces for two views by maximizing their correlations. …”
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452
SqUNet: An High-Performance Network for Crater Detection With DEM Data
Published 2023-01-01“…This kind of structure can significantly improve the feature learning ability. Moreover, a skip link is added inside the embedded U-Net structure to retain the feature information of the original map. …”
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453
Deep Learning Aided Data-Driven Fault Diagnosis of Rotatory Machine: A Comprehensive Review
Published 2021-08-01“…A data-driven fault diagnosis framework consists of data acquisition, feature extraction/feature learning, and decision making based on shallow/deep learning algorithms. …”
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454
Adaptive Machine Learning for Robust Diagnostics and Control of Time-Varying Particle Accelerator Components and Beams
Published 2021-04-01“…In this work, we propose that the combination of adaptive feedback and machine learning, adaptive machine learning (AML), is a way to combine the global feature learning power of ML methods such as deep neural networks with the robustness of model-independent control. …”
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455
SAR Remote Sensing Image Ship Detection Method NanoDet Based on Visual Saliency
Published 2021-12-01“…Finally, the optimized lightweight network model, NanoDet, is used to perform feature learning on the training samples added with the saliency maps, so that the system model can achieve fast and high-precision ship detection effects. …”
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456
Overlap-Aware Hierarchical Decoder for point cloud registration
Published 2024-02-01“…Extracting high-quality correspondences is a critical challenge in current feature-learning based point cloud registration methods. …”
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457
Micrographia-based parkinson’s disease detection using Deep Learning
Published 2023-09-01“…Deep Learning (DL) approaches, a subfield of machine learning research represent a useful tool for unsupervised feature learning because they employ a succession of layers, each of which is responsible for extracting different sorts of data. …”
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458
Visuospatial information foraging describes search behavior in learning latent environmental features
Published 2023-01-01“…Prior efforts to study latent feature learning often used single decisions, used few features, and failed to distinguish between reward-seeking and information-seeking. …”
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459
Multi-Task Learning and Temporal-Fusion-Transformer-Based Forecasting of Building Power Consumption
Published 2023-11-01“…The TFT component, which is optimized for feature learning, is integrated to further improve the model’s performance. …”
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460
Lightweight image matting algorithm based on deep learning
Published 2023-08-01“…Finally, knowledge distillation scheme is designed in part of the encoder‐decoder structure, the corresponding loss function is proposed, and the method of knowledge distillation is used to improve the feature learning ability of the lightweight neural network. …”
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