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6 days agoFeature extraction creates new features from functions of the original features, whereas feature selection finds a subset of the features. Feature selection ...
4 days agoFeature extraction identifies unique features such as corners, edges, or shapes within an image. These features are used to match similar patterns across ...
4 days agoApproaches in machine learning: Regression, classification, and feature extraction; Exploring the connection between human pattern recognition and machine ...
5 days agoIt has been widely used in agriculture, environmental monitoring, and ground object classification. In these applications and studies, HSI classification is an ...
3 days agoScaling telemetry requires being thoughtful about the volume of data to be emitted, adding sampling or feature extraction so the data can be stored more ...
7 days agoThese models are particularly effective for complex tasks such as image and speech recognition, as they can automatically extract high-level features from raw ...
2 days ago... foundations and practical applications of these methods, providing ... Detection; Convolutional Neural Network; Feature Extraction; RT-DETR; Aerial Images.
4 days agoThis is a collection of high-quality open access papers written by Editorial Board Members or those invited by the editorial office and the Editor-in-Chief.
5 days agoThis study systematically examines applications, algorithms and models that define the current landscape of deep learning-based natural language processing in ...
4 days agoThe world is now awash in spatial data, and there are more ways to apply GIS than ever before. It's time to rethink how GIS is being taught.