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This paper develops an encoding scheme for discrete-state systems as part of a hybrid-state hierarchy. The codes are based on commands between subsystems, in the sense that the interactions of the discrete states with the continuous states are exploited to attach significance to what each discrete state does to the continuous subsystem. The resultant codeset is independent of how the discrete-state...
Estimation of human activities using regression techniques has been performed in this paper. The activities considered for investigation are sitting, standing and walking. As the number of independent variable considered in the proposed work is more than two, Multiple Variate Regression (MVR) technique is applied to estimate the activities. From the performance analysis, it is found that this technique...
Feature selection is not only a key to handle the high dimensionality phenomenon caused by the vector space model representation, but mainly an efficient technique to reduce the noise generated by the irrelevant and redundant terms. However, in order to effectively capture the most important features, both the semantic and the statistical information within the feature space should be taken into account...
Estimation of a convex function is an important shape restricted nonparametric inference problem with broad applications. In this paper, penalized splines (or simply P-splines) are exploited for convex estimation. The paper is devoted to developing an asymptotic theory of a class of P-spline convex estimators using complementarity techniques and asymptotic statistics. Due to the convex constraints,...
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