Pattern Recognition

Get Started. It's Free
or sign up with your email address
Rocket clouds
Pattern Recognition by Mind Map: Pattern Recognition

1. Machine Learning

2. Used by Modern day robots to analyze many patterns

3. Bio-metric analysis

4. Vein Matching

5. In Neural networks

6. In Artificial Intelligence

7. Finding hidden patterns using Data Mining

8. Image Processing

9. Stock Investment pattern

10. Astronomy & Astrophysics; cluster of stars, nebulae

11. Course Contents

11.1. Stochastic Methods

11.2. Unsupervised Learning And Clustering

11.3. Linear Discriminant Functions

11.3.1. Linear discriminant analysis (LDA) and the related Fisher's linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterizes or separates two or more classes of objects or events. The resulting combination may be used as a linear classifier, or, more commonly, for dimensionality reduction before later classification.

11.4. Bayesian Decision Theory

11.5. Non-Metric Methods

11.6. Maximum-Likelihood And Bayesian Parameter Estimation