Multi-view clustering method tries to improve the performance of clustering by using the
information existing in different views. The tensorial representation is more suitable to …

Consider the recent upswing in interest around multi-view clustering procedures. Such
methods aim to boost clustering efficiency by leveraging information from numerous …

Tensor structures are widely utilized in clustering tasks due to their ability to represent high-
order relationships among multi-view data. The rank and decomposition of tensors are …

Recently, multi-view high-dimensional data has drawn great attention due to its reflection of
different properties or distributions and multi-view clustering have proven to be one of the …

The energy management strategy (EMS) is a decision-making algorithm for effective power
allocation between storage devices in a hybrid energy storage system (HESS). Source …

Range of electric vehicle depends on onboard energy storage system and strategies used to
handle this power. Range anxiety, current drain during peak power demand and less battery …

Energy management strategy (EMS) works as an exchange where the allotment of power is
decided between different sources in the hybrid energy storage system (HESS). While …

In the salient object detection, the given image can be decomposed into background regions
(low-rank part) and salient regions (sparse part). In this paper, we present a novel sparse …

Penggunaan perangkat elektronik yang meningkat berbanding lurus dengan penggunaan
perangkat konverter, suatu hal yang harus diperhatikan adalah beberapa konverter memiliki …