The goal of this paper is to review the state-of-the-art progress on visual tracking methods,
classify them into different categories, as well as identify future trends. Visual tracking is a …

A graph is one of important mathematical tools to describe ubiquitous relations. In the
classical graph theory and some applications, graphs are generally provided in advance, or …

In this paper, a new unsupervised learning algorithm, namely Nonnegative Discriminative
Feature Selection (NDFS), is proposed. To exploit the discriminative information in …

View-based 3-D object retrieval and recognition has become popular in practice, eg, in
computer aided design. It is difficult to precisely estimate the distance between two objects …

Video indexing and retrieval have a wide spectrum of promising applications, motivating the
interest of researchers worldwide. This paper offers a tutorial and an overview of the …

Due to the popularity of social media websites, extensive research efforts have been
dedicated to tag-based social image search. Both visual information and tags have been …

Composing fashion outfits involves deep under-standing of fashion standards while
incorporating creativity for choosing multiple fashion items (eg, jewelry, bag, pants, dress). In …

Recent years have witnessed a surge of interest in graph-based transductive image
classification. Existing simple graph-based transductive learning methods only model the …

A new unsupervised feature selection method, ie, Robust Unsupervised Feature Selection
(RUFS), is proposed. Unlike traditional unsupervised feature selection methods, pseudo …

Neighboring frames are more correlated compared to frames from further temporal
distances. In this paper, we aim to explore the temporal correlations among neighboring …