Classifier fusion - PowerPoint PPT Presentation

ECE 471/571 – Lecture 18

ECE 471/571 – Lecture 18. Classifier Fusion 04/12/17. Recap. Pattern Classification. Statistical Approach. Syntactic Approach. Supervised. Unsupervised. Basic concepts: Baysian decision rule (MPP, LR, Discri.). Basic concepts: Distance Agglomerative method.

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Fusion - Department of Computer Engineering

This presentation is on Fusion and is presented by Dr. S. Mishra, HOD of the department of Computer Engineering at Hope Foundationu2019s International Institute of Information Technology, Iu00b2IT. The content of the presentation includes Pattern Recognition, Classification and Classifier Fusion. Learn about how to select an algorithm, functional aspects of fusion, importance of classifier fusion and more.

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144 views • 12 slides

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