Identificación de Variables Relevantes con base en la Variación de Descriptores CronoValuados
(Identification of Relevant Features based on the Variation of ChronoValued Descriptors)
Jorge Ochoa Somuano (ochoa@cenidet.edu.mx)^{1}, Raúl Pinto Elías (rpinto@cenidet.edu.mx)^{1}
^{1}Centro Nacional de Investigación y Desarrollo Tecnológico
This paper appears in: Revista IEEE América Latina
Publication Date: Feb. 2016
Volume: 14, Issue: 2
ISSN: 15480992
Abstract:
In this paper the problem of feature selection in chronological information type is dealt. Objects are described by several tuples chained chronovalued 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 chronovalued 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.
Index Terms:
selection, classification, objects, data, variables, descriptors, actions, videos, chronovalued
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