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2. 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.

3. Image analysis - Wikipedia

   en.wikipedia.org/wiki/Image_analysis

   It involves the fields of computer or machine vision, and medical imaging, and makes heavy use of pattern recognition, digital geometry, and signal processing. This field of computer science developed in the 1950s at academic institutions such as the MIT A.I. Lab, originally as a branch of artificial intelligence and robotics.

4. 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 ...

5. Pandemonium architecture - Wikipedia

   en.wikipedia.org/wiki/Pandemonium_architecture

   It has applications in artificial intelligence and pattern recognition. The theory was developed by the artificial intelligence pioneer Oliver Selfridge in 1959. It describes the process of object recognition as the exchange of signals within a hierarchical system of detection and association, the elements of which Selfridge metaphorically ...

6. Histogram of oriented gradients - Wikipedia

   en.wikipedia.org/wiki/Histogram_of_oriented...

   Dalal and Triggs found that unsigned gradients used in conjunction with 9 histogram channels performed best in their human detection experiments, while noting that signed gradients lead to significant improvements in the recognition of some other object classes, like cars or motorbikes.

7. Artificial immune system - Wikipedia

   en.wikipedia.org/wiki/Artificial_immune_system

   AIS is a sub-field of biologically inspired computing, and natural computation, with interests in machine learning and belonging to the broader field of artificial intelligence. Artificial immune systems (AIS) are adaptive systems, inspired by theoretical immunology and observed immune functions, principles and models, which are applied to ...

8. Neural network (machine learning) - Wikipedia

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

   Pattern recognition (including radar systems, face identification, signal classification, [173] novelty detection, 3D reconstruction, [174] object recognition, and sequential decision making [175]) Sequence recognition (including gesture, speech, and handwritten and printed text recognition [176]) Sensor data analysis [177] (including image ...

9. Otsu's method - Wikipedia

   en.wikipedia.org/wiki/Otsu's_method

   An example image thresholded using Otsu's algorithm Original image. In computer vision and image processing, Otsu's method, named after Nobuyuki Otsu (大津展之, Ōtsu Nobuyuki), is used to perform automatic image thresholding. [1]