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  2. Mel-frequency cepstrum - Wikipedia

    en.wikipedia.org/wiki/Mel-frequency_cepstrum

    In sound processing, the mel-frequency cepstrum (MFC) is a representation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency.

  3. Mel scale - Wikipedia

    en.wikipedia.org/wiki/Mel_scale

    Plots of pitch mel scale versus hertz scale A440 Play ⓘ. 440 Hz = 549.64 mels. The mel scale (after the word melody) [1] is a perceptual scale of pitches judged by listeners to be equal in distance from one another.

  4. Multimedia information retrieval - Wikipedia

    en.wikipedia.org/wiki/Multimedia_Information...

    Multimedia information retrieval (MMIR or MIR) is a research discipline of computer science that aims at extracting semantic information from multimedia data sources. [1] [failed verification] Data sources include directly perceivable media such as audio, image and video, indirectly perceivable sources such as text, semantic descriptions, [2] biosignals as well as not perceivable sources such ...

  5. Features from accelerated segment test - Wikipedia

    en.wikipedia.org/wiki/Features_from_accelerated...

    Features from accelerated segment test (FAST) is a corner detection method, which could be used to extract feature points and later used to track and map objects in many computer vision tasks. The FAST corner detector was originally developed by Edward Rosten and Tom Drummond, and was published in 2006. [ 1 ]

  6. Feature recognition - Wikipedia

    en.wikipedia.org/wiki/Feature_recognition

    A machining feature can be regarded as the volume swept by a "cutting" tool, [4] which is always a negative (subtracted) volume. Finally, there is also the concept of assembly feature, which encodes the assembly method between connected components. Feature data in CAD can be specified either as a collection of surfaces or as volumes.

  7. Feature engineering - Wikipedia

    en.wikipedia.org/wiki/Feature_engineering

    Feature engineering in machine learning and statistical modeling involves selecting, creating, transforming, and extracting data features. Key components include feature creation from existing data, transforming and imputing missing or invalid features, reducing data dimensionality through methods like Principal Components Analysis (PCA), Independent Component Analysis (ICA), and Linear ...

  8. AOL

    search.aol.com

    The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web.

  9. Hough transform - Wikipedia

    en.wikipedia.org/wiki/Hough_transform

    The Hough transform is a feature extraction technique used in image analysis, computer vision, pattern recognition, and digital image processing. [1] [2] The purpose of the technique is to find imperfect instances of objects within a certain class of shapes by a voting procedure.