-
321
Parallel temporal feature selection based on improved attention mechanism for dynamic gesture recognition
Published 2022-09-01“…And the proportion of short-term and long-term features of gestures on channel and spatial axes in each stage of feature learning is quantitatively analyzed, and the final model is determined according to the experimental results. …”
Get full text
Article -
322
A Novel Method for Few-Shot Specific Emitter Identification in Non-Cooperative Scenarios
Published 2023-01-01“…The feature vectors are then fed to a network model for feature learning. Moreover, a meta-learning algorithm is applied to the network model to adapt to few-shot feature learning. …”
Get full text
Article -
323
MFEMDroid: A Novel Malware Detection Framework Using Combined Multitype Features and Ensemble Modeling
Published 2024-01-01“…To address oversparse datasets and reduce feature learning overhead, we employ an auto-encoder for feature dimensionality reduction. …”
Get full text
Article -
324
Hierarchical Attentive Feature Aggregation for Person Re-Identification
Published 2024-01-01“…The hierarchical aggregation and multi-granularity feature learning are integrated into a unified architecture that builds upon OSNet, resulting a resource-economical and effective person re-identification model. …”
Get full text
Article -
325
A fuzzy recurrent neural network for driver fatigue detection based on steering-wheel angle sensor data
Published 2019-09-01“…The study of the robust fatigue feature learning method for the driver’s operational behavior is of great significance for improving the performance of the real-time detection system for driver’s fatigue state. …”
Get full text
Article -
326
Müller matrix polarimetry for pancreatic tissue characterization
Published 2023-09-01“…This is, to our knowledge, the first study to use ex-vivo unfixed human pancreatic tissue combined with feature-learning from raw Müller matrix readings for this purpose.…”
Get full text
Article -
327
A Rotating Machinery Fault Diagnosis Method Based on Multi-Sensor Fusion and ECA-CNN
Published 2023-01-01“…Convolutional neural networks (CNNs) have recently shown great potential with excellent automatic feature learning and nonlinear mapping abilities in the field of rotating machinery fault diagnosis. …”
Get full text
Article -
328
Lightweight Facial Expression Recognition Based on Class-Rebalancing Fusion Cumulative Learning
Published 2023-08-01“…A dual-branch network (Regular feature learning and Rebalancing-Cumulative learning Network, RLR-CNet) is proposed, where the RLR-CNet uses the improvement in the lightweight ShuffleNet with two branches (feature learning and class-rebalancing) based on cumulative learning, which improves the efficiency of our model recognition. …”
Get full text
Article -
329
Comparative Study of Different Methods in Vibration-Based Terrain Classification for Wheeled Robots with Shock Absorbers
Published 2019-03-01“…The contributions are two-fold: (1) Several experiments are conducted to exhibit the performance of the existing feature-engineering and feature-learning classification methods; and (2) According to the long short-term memory (LSTM) network, we propose a one-dimensional convolutional LSTM (1DCL)-based VTC method to learn both spatial and temporal characteristics of the dampened vibration signals. …”
Get full text
Article -
330
Genetic Programming-Based Feature Construction for System Setting Recognition and Component-Level Prognostics
Published 2022-05-01“…The literature proposes various methods, including signal processing in the time, frequency, and time–frequency domains, feature selection, and unsupervised feature learning. An emerging task in data science is Feature Construction (FC), which has the advantages of both feature selection and feature learning. …”
Get full text
Article -
331
Fault Diagnosis for Rolling Bearing of Combine Harvester Based on Composite-Scale-Variable Dispersion Entropy and Self-Optimization Variational Mode Decomposition Algorithm
Published 2023-07-01“…Subsequently, a CSvDE-based feature learning model is established to generate the multiscale fault feature space (MsFFS) of frequency components for the improvement of fault feature learning ability. …”
Get full text
Article -
332
Atrial Fibrillation Detection Based on a Residual CNN Using BCG Signals
Published 2022-09-01“…The network has four modules, namely a downsampling convolutional module, a local feature learning module, a global feature learning module, and a classification module, and it extracts local and global features from BCG signals for AF detection. …”
Get full text
Article -
333
CMLFormer: CNN and Multiscale Local-Context Transformer Network for Remote Sensing Images Semantic Segmentation
Published 2024-01-01“…The characteristics of remote sensing images, such as complex ground objects, rich feature details, large intraclass variance and small interclass variance, usually require deep learning semantic segmentation methods to have strong feature learning representation ability. Due to the limitation of convolutional operation, convolutional neural networks (CNNs) are good at capturing local details, but perform poorly at modeling long-range dependencies. …”
Get full text
Article -
334
Landslide Extraction Using Mask R-CNN with Background-Enhancement Method
Published 2022-05-01“…The application of deep learning methods has brought improvements to the accuracy and automation of landslide extractions based on remote sensing images because deep learning techniques have independent feature learning and powerful computing ability. However, in application, the quality of training samples often fails the requirement for training deep networks, causing insufficient feature learning. …”
Get full text
Article -
335
A Dual-Attention Deep Discriminative Domain Generalization Model for Hyperspectral Image Classification
Published 2023-11-01“…In DAD3GM, we mainly design two blocks: dual-attention feature learning (DAFL) and deep discriminative feature learning (DDFL). …”
Get full text
Article -
336
A Multi-Scale U-Shaped Convolution Auto-Encoder Based on Pyramid Pooling Module for Object Recognition in Synthetic Aperture Radar Images
Published 2020-03-01“…The PPM and the multi-scale feature learning scheme were designed to learn multi-scale features. …”
Get full text
Article -
337
Understanding Unsupervised Deep Learning for Text Line Segmentation
Published 2022-09-01“…We propose an unsupervised feature learning approach for segmenting text lines of handwritten document images with no labelling effort. …”
Get full text
Article -
338
Convolutional transformer-driven robust electrocardiogram signal denoising framework with adaptive parametric ReLU
Published 2024-02-01“…The proposed APtrans-CNN architecture combines the strengths of transformers in global feature learning and CNNs in local feature learning to address the inadequacy of learning with long sequence time-series features. …”
Get full text
Article -
339
Information extraction for maritime security
Published 2022“…The general process of text classification is text pre-processing, feature learning and classifier construction. This dissertation accomplishes text classification through machine learning and deep learning respectively. …”
Get full text
Final Year Project (FYP) -
340
Label propagation via local geometry preserving for deep semi-supervised image recognition
Published 2022“…Ablation study confirms synergistic effects from features learned with self-supervision and similarity graph with local geometry preserving. …”
Get full text
Journal Article