Feature selection for pattern recognition: Upcoming challenges

Abstract

Pattern recognition is not a new field, but the challenges are coming on the data format. Today's technological devices provide a huge amount of data with extensive detail evolving the classical pattern recognition approaches for dealing with them. Given the size of and quantity of descriptors data possess, traditional pattern recognition techniques have to draw on feature selection to handle problems like the excess of computer resources and dimensionality. Feature selection techniques are evolving, as well, for data related reasons. Chronologically linked data brings new challenges to the field. In the present chapter, we expose the gap in feature selection research to handle this type of data, as well as give suggestions of how to perform or pursue an approach to chronologically linked data feature selection.