The objective in any pattern recognition problem is to capture the characteristics common to each class from feature vectors of the training data. While Gaussian mixture models ap...
— Pattern recognition has many applications in design automation. A generalized pattern recognition algorithm is presented in this paper which can efficiently extract similar pat...
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...
Person identification using audio (speech) and visual (facial appearance, static or dynamic) modalities, either independently or jointly, is a thoroughly investigated problem in pa...