3 accepted papers
In this work, a novel rank-revealing matrix decomposition algorithm termed Compressed Randomized UTV (CoR-UTV) decomposition along with a CoR-UTV variant aided by the power method technique is proposed. CoR-UTV computes an approximation to a low-rank input matrix by making use of random sampling sch…
This work introduces a novel matrix decomposition method termed Intermingled Randomized Singular Value Decomposition (InR-SVD), along with an InR-SVD variant powered by the power iteration scheme. InR-SVD computes a low-rank approximation to an input matrix by means of random sampling techniques. Gi…
In this paper we propose novel randomized subspace methods to detect anomalies in Internet Protocol networks. Given a data matrix containing information about network traffic, the proposed approaches perform a normal-plus-anomalous matrix decomposition aided by the randomized sampling scheme and sub…