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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.
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.
The dual-task n-back task is a variation that was proposed by Susanne Jaeggi et al. in 2003. [5] In the dual-task paradigm, two independent sequences are presented simultaneously, typically using different modalities of stimuli, such as one auditory and one visual.
Doors and People is a neuropsychological test of memory developed as a memory battery (Baddeley, Emslie and Nimmo-Smith, 1994). [1] The test takes about 35–45 minutes to complete and can be administered on individuals aged between 18 and 80 years old.
In pattern recognition, information retrieval, object detection and classification (machine learning), precision and recall are performance metrics that apply to data retrieved from a collection, corpus or sample space. Precision (also called positive predictive value) is the fraction of relevant instances among the retrieved instances. Written ...
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.
A probabilistic neural network (PNN) [1] is a feedforward neural network, which is widely used in classification and pattern recognition problems.In the PNN algorithm, the parent probability distribution function (PDF) of each class is approximated by a Parzen window and a non-parametric function.
Pattern recognition is a field in machine learning. Pattern recognition may also refer to: Pattern recognition (psychology), identification of faces, objects, words, melodies, etc. Pattern Recognition, a 2003 novel by William Gibson; Pattern Recognition, an album by Sea Scouts "Pattern Recognition", a song by Sonic Youth from Sonic Nurse