x
Redirected from 특징 추출
In Machine learning, Pattern recognition and in Image processing, feature extraction (특징 추출) starts from an initial set of measured data and builds derived values (features) intended to be informative and non-redundant, facilitating the subsequent learning and generalization steps, and in some cases leading to better human interpretations. (https://en.wikipedia.org/wiki/Feature_extraction)
Incoming Links #
Related Articles (Article 0) #
Suggested Pages #
- 0.025 August 9
- 0.025 디지털 화상 처리
- 0.025 Keras
- 0.025 Matplotlib
- 0.025 Scipy
- 0.025
- 0.025
- 0.025 pandas
- 0.025 August 22
- 0.025 November 11
- More suggestions...