Abstract. Exploiting the diversity of hypotheses produced by evolutionary learning, a new ensemble approach for Feature Selection is presented, aggregating the feature rankings ext...
Abstract— In this paper, we present how moment invariants can be used to design a decoupled 2D visual servoing scheme and to minimize the nonlinearity of the interaction matrix r...
Abstract. We provide the unified methodology for searching for approximate decision reducts based on rough membership distributions. Presented study generalizes well known relation...
Classification of large datasets is a challenging task in Data Mining. In the current work, we propose a novel method that compresses the data and classifies the test data directl...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
Abstract. In this paper we show that the separable decomposition of a univariate polynomial can be computed in softly optimal time, in terms of the number of arithmetic operations ...