Multivariate Normal Distribution in Pattern recognization

Multivariate Normal Distribution (Multivariate Gaussian Distribution) is an advanced probability distribution used to model multiple correlated features simultaneously. In Pattern Recognition, it helps represent the joint behavior of features using a Mean Vector and Covariance Matrix. This concept is widely used in Face Recognition, Speech Recognition, Image Classification, Bayesian Classifiers, and Machine Learning for accurate probability estimation and classification.