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Research on texture image feature extraction methodIn this paper, we give several classical feature extraction methods, including grayscale co
Sensor data frequency feature extractionFrequency domain features are important for human activity recognition. However, the raw signal
Texture feature extraction method based on grayscale recognitionThe quality of feature extraction has a great impact on the accuracy and efficiency of image
Methods of extract features from image in visual simultaneous localization and mappingVisual simultaneous localization and mapping (VSLAM) depends on features from image
to decide
Multiple features for clinical relation extraction: A machine learning approach© 2020 Elsevier Inc. Relation extraction aims to discover relational facts about entity mentions
Low-rank adaptive graph embedding for unsupervised feature extraction© 2020 Most of manifold learning based feature extraction methods are two-step methods, which first
Extraction of Time-Domain Characteristics and Selection of Effective Features Using Correlation Analysis to Increase the Accuracy of Petroleum Fluid Monitoring Systems volumetric ratios. As the feature extraction system, twelve time characteristics were extracted from
Optimizing local feature description and matching for realtime video sequence object detectionThe paper proposes an algorithm for local
feature extraction, description and comparison on color
Improving image quality algorithmsThis article mainly introduces image feature extraction and briefly introduces how to improve image
Research of the influence of the analyzed and support sample size on the effectiveness of detection in case of normal law of intensity distribution aberration of the image elementsPaper is focused on problem of robust feature detector stability and efficiency in case when
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