Identification of Relevant Features based on the Variation of Chrono-Valued Descriptors

• Published in: Revista IEEE América Latina Vol. 14; no. 2; pp. 936 - 942
• Main Authors: Ochoa, J., Pinto, R.
• Format: Journal Article
• Language: English
• Published: Los Alamitos IEEE 01.02.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: actions; Chains; chrono-valued; classification; Color; data; Data points; descriptors; Dynamics; Feature based; Image color analysis; Media; objects; selection; Silicon; Silicon compounds; Static objects; Universe; variables; Video data; Videos
• ISSN: 1548-0992; 1548-0992
• DOI: 10.1109/TLA.2016.7437243

In this paper the problem of feature selection in chronological information type is dealt. Objects are described by several tuples chained chrono-valued variables. We work with a universe of data consisting of sets of objects separated into classes wherein each object is described by t tuples of variables and also each tuple contains n variables. In general we can speak of two types of problems where data points are used and where no specific data are used. In the first case the data obtained from static objects, such as images; in the second case the data are obtained from dynamic objects, such as videos. Found research in which they treat information that care about the order of the data but with objects that are represented by a single tuple of variables, that is, are objects that represent the same phenomenon. This research is of great importance because it is intended to work with information that has two main features. The first feature is that objects are described by several tuples chained chrono-valued variables, that is, each object is represented in matrix form. The second feature is that a phenomenon described by the same object but at different points in time.