Category:Pattern Recognition

From Scholarpedia

Editor: Dr. Ke CHEN, School of Computer Science, The University of Manchester, U.K.

Pattern Recognition is a subfield of Artificial Intelligence that applies machine learning methodologies to tackle problems of classifying/clustering patterns or objects into categories or classes, which forms an integral part in most machine intelligence systems for decision making.

Articles in category "Pattern_Recognition"

There are 59 articles in this category.

A Affective computing Auditory scene analysis B Binding problem Biometric authentication C Clustering ensembles Clustering validation Clustering via affinity propagation Clustering via deterministic annealing Computer vision Convolutional networks D Data clustering Data mining Deep belief networks Dimensionality reduction E Echo state network Eigenfaces F Face recognition Face space Facial expression analysis

F cont. Factor graphs Financial engineering Fuzzy neural network G Gait recognition Generative topographic mapping Graph-theoretic clustering H Handwriting recognition I Independent component analysis Iris recognition L Latent semantic analysis Locally linear embedding M Machine learning Matching pursuit Media Content Analysis Multidimensional scaling Multiple classifier systems N Nearest feature line Neighbourhood component analysis Neocognitron Neural Filtering

N cont. Neural net language models O Object recognition P Palmprint recognition Pattern recognition Pattern theory Perceptron Product of experts R Recognition by components S Similarity measures Speaker recognition Speech emotion analysis Speech recognition Supervised learning Support vector domain description Support vector clustering T Tangent distance Text categorization U Unsupervised learning W Web mining Word sense disambiguation