How do we accurately browse a large set of images or efficiently annotate the images from
an image library? Image clustering methods are invaluable tools for applications such as …

Robustness and efficiency are the two main goals of existing trackers. Most robust trackers
are implemented with combined features or models accompanied with a high computational …

The rapid development of 3D digital technology has led to an increasing volume of 3D
model data. In addressing the management of such large scale data, effective content-based …

Implicit feedback collaborative filtering has attracted a lot of attention in collaborative
filtering, which is called one-class collaborative filtering (OCCF). However, the low …

The encryption algorithm of color images based on chaos theory has attracted lots of
attentions in recent years. Nevertheless, due to the defects of the low dimensional chaotic …

In machine learning and data mining, learning from positive and unlabeled examples (PU
learning) has attracted a great deal of attention, and the corresponding classifiers are …

In recent years there has been increased consumer use of the vast array of online reviews.
Given the increasingly high volume of such reviews, automatic analyses of their quality have …

This paper considers the subject of penalty regularized expected utilities and investigates
the applicability of the method for computing the mean–variance Markowitz customer …

Retinopathy detection using optical coherence tomography (OCT) images has greatly
advanced with computer vision but traditionally requires extensive annotated data, which is …

In this paper, we focus on the problem of automatically generating amplified scientific
paper's abstract which represents the most influential aspects of scientific paper. The …