Simple Predictor Attribute
(Redirected from low-level predictor feature)
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A Simple Predictor Attribute is a predictor attribute that requires minimal data transformations.
- Example(s):
- a Low-level Text Token Predictor Feature, such as a Character n-Gram Feature or a Token-length Feature.
- …
- Counter-Example(s):
- a High-Level Predictor Feature, such as an Image Edge Feature.
- See: Predictor Feature Extraction.
References
2007
- (Choras, 2007) ⇒ Ryszard S. Choras. (2007). “Image Feature Extraction Techniques and their Applications for CBIR and Biometrics Systems.” In: International journal of biology and biomedical engineering, 1(1).
- QUOTE: … The feature is defined as a function of one or more measurements, each of which specifies some quantifiable property of an object, and is computed such that … Low-level features can be extracted directed from the original images, whereas high-level feature extraction must ...