B . Mirkin

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The Iterative Extraction approach (ITEX) extends the one-by-one extraction techniques in Principal Component Analysis to other additive data models. We describe additive models for clustering entity-to-feature and similarity data and apply ITEX for deriving computationally feasible clustering solutions. Specifically, two ITEX derived clustering methods,(More)
ing Concepts from Text Documents by Using an Ontology E.Chernyak, O.Chugunova, J.Askarova, S. Nascimento, B.Mirkin Division of Applied Mathematics and Informatics, National Research University Higher School of Economics, Moscow, Russian Federation Department of Informatics, New University of Lisbon, Caparica, Portugal Department of Computer Science,(More)
This paper develops an adaptive state feedback tracking control scheme for a class of linear systems with state-delays in the presence of unknown actuator failures. The main contributions of this paper are the development of a new controller parametrization with delayed feedback which attempts to anticipate the future states, the introduction of an(More)
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