Intelligent Transportation Systems (ITSs) are vital for alleviating traffic congestion and
improving traffic efficiency. Due to the delay of network transmission and failure of detectors …

In recent years, the constraint based correlation filter has shown good performance in
unmanned aerial vehicle (UAV) tracking, which gains a lot popularity in many intelligence …

Robust PCA (RPCA) and its tensor extension, namely, Robust Tensor PCA (RTPCA),
provide an effective framework for background/foreground separation by decomposing the …

The fixed-precision randomized quaternion singular value decomposition algorithm
(FPRQSVD) is presented to compute the low-rank quaternion matrix approximation. The …

We propose a new fast streaming algorithm for the tensor completion problem of imputing
missing entries of a low-tubal-rank tensor using the tensor singular value decomposition (t …

Riemannian optimization has drawn a lot of attention due to its wide applications in practice.
Riemannian stochastic first-order algorithms have been studied in the literature to solve …

Utilizing low-rank representation, recent methods have efficiently estimated the low-rank
tensor for tensor completion (TC). However, owing to the identifiability issue, these methods …

We consider optimization problems over the Stiefel manifold whose objective function is the
summation of a smooth function and a nonsmooth function. Existing methods for solving this …

In this paper, we consider solving a broad class of large-scale nonconvex and nonsmooth
minimization problems by a Bregman proximal stochastic gradient (BPSG) algorithm. The …

As electric vehicles (EVs) gain popularity, their interaction with the power system cannot be
overlooked. Therefore, there is a growing need for accurate EV load data to facilitate precise …