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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.
In cognitive psychology, a recall test is a test of memory of mind in which participants are presented with stimuli and then, after a delay, are asked to remember as many of the stimuli as possible. [1]: 123 Memory performance can be indicated by measuring the percentage of stimuli the participant was able to recall. An example of this would be ...
In psychology, pattern recognition is used to make sense of and identify objects, and is closely related to perception. This explains how the sensory inputs humans receive are made meaningful. Pattern recognition can be thought of in two different ways. The first concerns template matching and the second concerns feature detection.
A good test does not tap recognition memory, it wants to discern how well a person encoded and can recall a concept. If people rely on recognition for use on a memory test (such as multiple choice) they may recognize one of the options but this does not necessarily mean it is the correct answer. [94]
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 ...
Thin-slicing is a term used in psychology and philosophy to describe the ability to find patterns in events based only on "thin slices", or narrow windows, of experience. The term refers to the process of making very quick inferences about the state, characteristics or details of an individual or situation with minimal amounts of information.
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A very common type of prior knowledge in pattern recognition is the invariance of the class (or the output of the classifier) to a transformation of the input pattern. This type of knowledge is referred to as transformation-invariance. The mostly used transformations used in image recognition are: translation; rotation; skewing; scaling.