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  2. Salience (language) - Wikipedia

    en.wikipedia.org/wiki/Salience_(language)

    According to this theory, a stimulus is "in-salient" if it is not in harmony with perceiver's worldview. It is "re-salient" if it is in harmony with the perceiver's goals (Guido, 1998). [16] Salience is a construct that depends on the ability of the mind to access the feelings or emotions (affect) generated by the salient stimulus.

  3. Kadir–Brady saliency detector - Wikipedia

    en.wikipedia.org/wiki/Kadir–Brady_saliency...

    The Kadir–Brady saliency detector extracts features of objects in images that are distinct and representative. It was invented by Timor Kadir and J. Michael Brady [1] in 2001 and an affine invariant version was introduced by Kadir and Brady in 2004 [2] and a robust version was designed by Shao et al. [3] in 2007.

  4. Family Environment Scale - Wikipedia

    en.wikipedia.org/wiki/Family_environment_scale

    There are three, equivalent forms to the FES that are used to measure different aspects of the family. The Real Form (Form R) measures people's attitude about their family current environment, the Ideal Form (Form I) measures person's ideal family perception, and the Expectations Form (Form E) assess the family ability to withstand change. [1]

  5. Motivational salience - Wikipedia

    en.wikipedia.org/wiki/Motivational_salience

    Incentive salience is the attractive form of motivational salience that causes approach behavior, and is associated with operant reinforcement, desirable outcomes, and pleasurable stimuli. [ 2 ] [ 3 ] Aversive salience (sometimes known as fearful salience [ 4 ] ) is the aversive form of motivational salience that causes avoidance behavior, and ...

  6. Saliency map - Wikipedia

    en.wikipedia.org/wiki/Saliency_map

    A view of the fort of Marburg (Germany) and the saliency Map of the image using color, intensity and orientation.. In computer vision, a saliency map is an image that highlights either the region on which people's eyes focus first or the most relevant regions for machine learning models. [1]

  7. Part number - Wikipedia

    en.wikipedia.org/wiki/Part_number

    A business using a part will often use a different part number than the various manufacturers of that part do. This is especially common for catalog hardware, because the same or similar part design (say, a screw with a certain standard thread, of a certain length) might be made by many corporations (as opposed to unique part designs, made by only one or a few).

  8. Learner autonomy - Wikipedia

    en.wikipedia.org/wiki/Learner_autonomy

    [11] [12] The salient characteristics associated with autonomous learning (resourcefulness, initiative, and persistence) are crucial for high school-level students. Currently, the school structure in place in the US is composed of a ladder system of advancement as directed solely by academic achievement.

  9. Geographical feature - Wikipedia

    en.wikipedia.org/wiki/Geographical_feature

    Attributes, characteristics of a feature other than location, often expressed as text or numbers; for example, the population of a city. [19] In geography, the levels of measurement developed by Stanley Smith Stevens (and further extended by others) is a common system for understanding and using attribute data.