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  2. Object recognition (cognitive science) - Wikipedia

    en.wikipedia.org/wiki/Object_recognition...

    Semantic associations allow for faster object recognition. When an object has previously been associated with some sort of semantic meaning, people are more prone to correctly identify the object. Research has shown that semantic associations allow for a much quicker recognition of an object, even when the object is being viewed at varying angles.

  3. Object detection - Wikipedia

    en.wikipedia.org/wiki/Object_detection

    Objects detected with OpenCV's Deep Neural Network module (dnn) by using a YOLOv3 model trained on COCO dataset capable to detect objects of 80 common classes. Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. [1]

  4. Image segmentation - Wikipedia

    en.wikipedia.org/wiki/Image_segmentation

    Semantic segmentation is an approach detecting, ... objects and salient object parts. Edge detection methods can be applied to the spatial-taxon region, in the same ...

  5. Pandemonium architecture - Wikipedia

    en.wikipedia.org/wiki/Pandemonium_architecture

    In a feature detection model, the image is first perceived in its basic individual elements before it is recognized as a whole object. For example, when we are presented with the letter A, we would first see a short horizontal line and two slanted long diagonal lines.

  6. Outline of object recognition - Wikipedia

    en.wikipedia.org/wiki/Outline_of_object_recognition

    Object recognition – technology in the field of computer vision for finding and identifying objects in an image or video sequence. Humans recognize a multitude of objects in images with little effort, despite the fact that the image of the objects may vary somewhat in different view points, in many different sizes and scales or even when they are translated or rotated.

  7. Semantic analysis (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Semantic_analysis_(machine...

    In machine learning, semantic analysis of a text corpus is the task of building structures that approximate concepts from a large set of documents. It generally does not involve prior semantic understanding of the documents. Semantic analysis strategies include: Metalanguages based on first-order logic, which can analyze the speech of humans.

  8. Recognition memory - Wikipedia

    en.wikipedia.org/wiki/Recognition_memory

    Recognition memory, a subcategory of explicit memory, is the ability to recognize previously encountered events, objects, or people. [1] When the previously experienced event is reexperienced, this environmental content is matched to stored memory representations, eliciting matching signals. [2]

  9. Semantics (psychology) - Wikipedia

    en.wikipedia.org/wiki/Semantics_(psychology)

    Semantics within psychology is the study of how meaning is stored in the mind. Semantic memory is a type of long-term declarative memory that refers to facts or ideas which are not immediately drawn from personal experience. It was first theorized in 1972 by W. Donaldson and Endel Tulving.