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Data stream classification in dynamic feature space using feature map**
Stream learning in dynamic feature space has evolved into an immensely popular field. This problem assumes that each instance of the data stream may...
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Dynamic hidden feature space detection of noisy image set by weight binarization
Historical documents are mostly in printed format. Considering space requirements and physical inspection, their preservation and restoration are...
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Boosting person ReID feature extraction via dynamic convolution
Extraction of discriminative features is crucial in person re-identification (ReID) which aims to match a query image of a person to her/his images,...
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Dynamic negative sampling for recommendation with feature matching
Negative sampling is a strategy used to select nodes in unexposed items. Recently, most recommendation algorithms based on knowledge graph have...
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Omni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification
Pneumonia is a serious disease that can be fatal, particularly among children and the elderly. The accuracy of pneumonia diagnosis can be improved by...
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Robust multi-label feature selection with shared coupled and dynamic graph regularization
The graph-based multi-label feature selection (MFS) method plays a pivotal role in big data era with the exponential growth of multi-label data. As...
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Dynamic Feature Attention Network for Remote Sensing Image Dehazing
In recent years, deep learning-based methods for remote sensing image dehazing have achieved remarkable progress, especially with the incorporation...
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Automatic feature selection using enhanced dynamic Crow Search Algorithm
Data clustering is an unsupervised machine-learning technique that segregates similar data points. Most real-life datasets have redundant and...
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Efficient ship detection in sar images with dynamic feature smoothing and visual module using omni-dimensional dynamic large-scale convolution
In SAR (Synthetic Aperture Radar) image ship detection tasks, the accuracy of detection is hindered by the presence of a significant amount of...
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Dynamic Graph Learning for Feature Projection
High-dimensional features have gained widespread usage in various research fields such as multimedia computing, data mining, pattern recognition, and...
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Dynamic feature distillation and pyramid split large kernel attention network for lightweight image super-resolution
With the development of edge intelligent devices such as unmanned aerial vehicles (UAVs), the demand of for high-resolution (HR) images increase...
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DTS: dynamic training slimming with feature sparsity for efficient convolutional neural network
Deep convolutional neural networks have achieved remarkable progress on computer vision tasks over last years. In this paper, we proposed a dynamic...
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Lightweight network for small target fall detection based on feature fusion and dynamic convolution
The accurate and prompt detection of falls in the elderly holds significant importance in building a fall detection system based on artificial...
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Color Models Aware Dynamic Feature Extraction for Forest Fire Detection Using Machine Learning Classifiers
AbstractThe earth’s ecology is well balanced and protected by forests. On the other hand, forest fires affect forest resources, thus causing both...
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Feature selection using max dynamic relevancy and min redundancy
Feature selection algorithms based on three-way interaction information have been widely studied. However, most of these traditional algorithms only...
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Adaptive dynamic elite opposition-based Ali Baba and the forty thieves algorithm for high-dimensional feature selection
High-dimensional Feature Selection Problems (HFSPs) have grown in popularity but remain challenging. When faced with such complex situations, the...
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Motion feature estimation using bi-directional GRU for skeleton-based dynamic hand gesture recognition
Dynamic hand gesture recognition continues to be an interesting field in computer vision applications. Occlusion and background clutter make dynamic...
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Feature semantic space-based sim2real decision model
At present, the intelligent decision model of unmanned systems can only be applied to virtual scenes, which makes it difficult to migrate to real...
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Intrusion Detection Using Dynamic Feature Selection: An Adaptive Bacterial Foraging Method
The continuous area of cyberattacks demands more responsive defenses than classic, static intrusion detection systems (IDS) can provide. This...
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The double-feature extraction method based on slope entropy and symbolic dynamic entropy for the fault diagnosis of rolling bearing
This paper explores the application of slope entropy in fault diagnosis. In order to improve the recognition rate of faults, double-feature...
