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 82 articles in this category.

A Actor-critic method Adaptive resonance theory Affective computing Auditory scene analysis B Bayesian learning Binding problem Biometric authentication C Clustering ensembles Clustering validation Clustering via affinity propagation Clustering via deterministic annealing Computer vision Conditional random fields Convolutional networks D Data clustering Data mining Decision trees Deep belief networks Dimensionality reduction E Echo state network Editing techniques Eigenfaces Error back-propagation F Face Detection Face recognition Face space Facial expression analysis

F cont. Factor graphs Financial engineering Fingerprint Recognition 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 Markov decision processes Matching pursuit Media Content Analysis Mixtures of experts Multidimensional scaling Multiple classifier systems N Naive Bayes classifier Nearest feature line Negatively Correlated Ensemble Learning Neighbourhood component analysis Neocognitron Neural Filtering Neural net language models O Object recognition P Palmprint recognition

P cont. Pattern recognition Pattern theory Perceptron Policy gradient methods Principal component analysis Product of experts Q Q-learning R Recognition by components Reinforcement S Similarity measures Speaker recognition Speech emotion analysis Speech recognition Structural pattern recognition Supervised learning Support vector clustering Support vector domain description Support vector machine T Tangent distance Td-gammon Text categorization U Unsupervised learning V Vapnik-Chervonenkis dimension Vision W Web mining Widrow-Hoff learning rule Word sense disambiguation