Discriminants are often used in pattern recognition to separate clusters of points in some multidimensional "feature" space. This paper provides two fast and simple techn...
The Multidimensional Assignment Problem (MAP) is a higher-dimensional version of the Linear Assignment Problem that arises in the areas of data association, target tracking, resou...
Pavlo A. Krokhmal, Don A. Grundel, Panos M. Pardal...
— This paper introduces a convenient framework based on passivity and Linear Matrix Inequalities (LMIs) for stability analysis and controller design for haptic systems involving ...
It has been shown that the sparse grid combination technique can be a practical tool to solve high dimensional PDEs arising in multidimensional option pricing problems in finance...
Abstract. Data embedding in digital images involves a trade off relationship among imperceptibility, robustness, data security and embedding rate etc. Genetic Algorithms (GA) can b...
Santi P. Maity, Malay Kumar Kundu, Prasanta Kumar ...