Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of pa

The implementation of data and information analysis has become a trending solution within multiple professions. New tools and approaches are continually being d

The many different mathematical techniques used to solve pattem recognition problems may be grouped into two general approaches: the decision-theoretic (or disc

This book covers latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics,

Statistical pattern recognition is a very active area of study andresearch, which has seen many advances in recent years. New andemerging applications - such as