ORCIDGitHubLinkedIn
RSS Curriculum Vitae TR

Feature Vector

Turkish equivalent: Öznitelik VektörüDomain: Machine Learning

A numerical representation that collects task-relevant characteristics of an observation for comparison or learning.

Technical Context

A numerical representation that collects task-relevant characteristics of an observation for comparison or learning.

The meaning of a feature vector depends on the extractor and normalisation; the chosen distance or similarity measure must reflect the semantics of the task.

Updated:

Related concepts

Machine Learning

Related technical publications

Publications whose title or summary directly references this concept.

Audio Feature Vectors and Matching

Audio feature extraction through pre-emphasis, framing, windowing, FFT/STFT, time and spectral features, MFCCs, pitch and formants, and learned audio or speaker embeddings.