Recommender systems use algorithms to provide users with product or service
recommendations. Recently, these systems have been using machine learning algorithms …

Popular music is often composed of an accompaniment and a lead component, the latter
typically consisting of vocals. Filtering such mixtures to extract one or both components has …

Anomalous event detection is of utmost importance in intelligent video surveillance.
Currently, most approaches for the automatic analysis of complex video scenes typically rely …

In this paper, we propose a new unsupervised spectral feature selection model by
embedding a graph regularizer into the framework of joint sparse regression for preserving …

The rapid growth of the number of data brings great challenges to clustering, especially the
introduction of multi-view data, which collected from multiple sources or represented by …

We propose a generative model for robust tensor factorization in the presence of both
missing data and outliers. The objective is to explicitly infer the underlying low …

Multiview subspace clustering (MVSC) has been used to explore the internal structure of
multiview datasets by revealing unique information from different views. Most existing …

In a real-world scenario, an object is easily considered as features combined by multiple
views in reality. Thus, multiview features can be encoded into a unified and discriminative …

This paper presents a remarkably simple, yet powerful, algorithm termed coherence pursuit
(CoP) to robust principal component analysis (PCA). As inliers lie in a low-dimensional …

The infrared search and track (IRST) system has been widely used, and the field of infrared
small target detection has also received much attention. Based on this background, this …