This paper proposes design concepts that allow the conception, understanding and development of complex technical structures for open distributed systems. The proposed concepts ar...
Abstract— The problem of estimating the intensity process of a doubly stochastic Poisson process is analyzed. Using covariance information, a recursive linear minimum mean-square...
Abstract. In this paper we study six 2nd round SHA-3 candidates from a side-channel cryptanalysis point of view. For each of them, we give the exact procedure and appropriate choic...
Abstract. Median clustering extends popular neural data analysis methods such as the self-organizing map or neural gas to general data structures given by a dissimilarity matrix on...
Barbara Hammer, Alexander Hasenfuss, Fabrice Rossi
Abstract. In this paper we elaborate on a kernel extension to tensorbased data analysis. The proposed ideas find applications in supervised learning problems where input data have ...
Marco Signoretto, Lieven De Lathauwer, Johan A. K....