Feature extraction can reduce the computational complexity, improve the accuracy, and enhance the robustness of robot vision algorithms. Add your perspective Help others by sharing more (125 ...

This paper presents the feature extraction, selection and K-Nearest Neighbors (K-NN) algorithm to classify behaviors of sharks based on the data collected by tri-axial acceleration data loggers (ADLs) ...

Here, F is the feature set for each data type and f is the feature extraction method. 2.2.2 Fitness. Another important part of the genetic algorithm is the fitness function. The fitness function ...

Feature Engineering & Selection is the most essential part of building a useable machine learning project, even though hundreds of cutting-edge machine learning algorithms coming in these days like ...

The suitable combinations of these techniques have the potential to improve the development of sleep analysis. Most existing papers compare single feature extraction methods, single selection ...

Ghojogh, B. et al., 2019. Feature selection and feature extraction in pattern analysis: A literature review. arXiv preprint arXiv:1905.02845.

This paper presents the feature extraction, selection and K-Nearest Neighbors (K-NN) algorithm to classify behaviors of sharks based on the data collected by tri-axial acceleration data loggers (ADLs) ...