Multi-Paradigm Learning Algorithms for Image Recognition

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by Hojjat Adeli, The Ohio State Univ, Columbus, United States,

Document Type: Proceeding Paper

Part of: Digital Image Processing: Techniques and Applications in Civil Engineering

Abstract: Several recently-developed machine learning algorithms for the image recognition problem are reviewed. They are based on adroit integration of various recent and emerging technologies including neural network computing, genetic algorithms, parallel processing, and fuzzy sets.

Subject Headings: Algorithms | Imaging techniques | Data processing | Neural networks | Fuzzy sets | Signal processing | Equipment and machinery |

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