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  2. Pattern recognition (psychology) - Wikipedia

    en.wikipedia.org/wiki/Pattern_recognition...

    In psychology and cognitive neuroscience, pattern recognition is a cognitive process that matches information from a stimulus with information retrieved from memory. [1]Pattern recognition occurs when information from the environment is received and entered into short-term memory, causing automatic activation of a specific content of long-term memory.

  3. Prototype-matching - Wikipedia

    en.wikipedia.org/wiki/Prototype-matching

    In cognitive science, prototype-matching is a theory of pattern recognition that describes the process by which a sensory unit registers a new stimulus and compares it to the prototype, or standard model, of said stimulus. Unlike template matching and featural analysis, an exact match is not expected for prototype-matching, allowing for a more ...

  4. Embodied design - Wikipedia

    en.wikipedia.org/wiki/Embodied_design

    [1] [2] Embodied design brings mathematics to life; studying the effects of the body on the mind, researchers learn how to design objects and activities for learning. [3] Embodiment is an aspect of pattern recognition in all fields of human endeavor. Embodied design has an increasing role in mathematics education.

  5. Pattern recognition - Wikipedia

    en.wikipedia.org/wiki/Pattern_recognition

    Pattern recognition is the task of assigning a class to an observation based on patterns extracted from data. While similar, pattern recognition (PR) is not to be confused with pattern machines (PM) which may possess (PR) capabilities but their primary function is to distinguish and create emergent patterns.

  6. Mathematics of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/Mathematics_of_artificial...

    An artificial neural network (ANN) combines biological principles with advanced statistics to solve problems in domains such as pattern recognition and game-play. ANNs adopt the basic model of neuron analogues connected to each other in a variety of ways.

  7. Feature (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Feature_(machine_learning)

    In pattern recognition and machine learning, a feature vector is an n-dimensional vector of numerical features that represent some object. Many algorithms in machine learning require a numerical representation of objects, since such representations facilitate processing and statistical analysis. When representing images, the feature values ...

  8. Visual learning - Wikipedia

    en.wikipedia.org/wiki/Visual_learning

    Visual learning is a learning style among the learning styles of Neil Fleming's VARK model in which information is presented to a learner in a visual format. Visual learners can utilize graphs, charts, maps, diagrams, and other forms of visual stimulation to effectively interpret information.

  9. Pattern search - Wikipedia

    en.wikipedia.org/wiki/Pattern_search

    Pattern search may refer to: Pattern search (optimization) Pattern recognition (computing) Pattern recognition (psychology) Pattern mining; String searching algorithm; Fuzzy string searching; Bitap algorithm; K-optimal pattern discovery; Nearest neighbor search; Eyeball search