This paper considers consensus problems with delayed noisy measurements, and stochastic approximation is used to achieve mean square consensus. For stochastic approximation based c...
Abstract. Feature selection has improved the performance of text clustering. In this paper, a local feature selection technique is incorporated in the dynamic hierarchical compact ...
The k-MST problem requires finding that subset of at least k vertices of a given graph whose Minimum Spanning Tree has least weight amongst all subsets of at least k vertices. Th...
The failure probability of a product F(t) and the life time quantile tp are commonly used metrics in reliability applications. Confidence intervals are used to quantify the statis...
Abstract. In this paper we present a theoretical framework to quantify the information brought by several linear approximations of a blockcipher without putting any restriction on ...