Linear discriminant analysis (LDA) is one of the most important supervised linear
dimensional reduction techniques which seeks to learn low-dimensional representation from …

Image crop** aims at improving the aesthetic quality of images by adjusting their
composition. Most weakly supervised crop** methods (without bounding box supervision) …

Recently, a prevailing trend of user generated content (UGC) on social media sites is the
emerging micro-videos. Microvideos afford many potential opportunities ranging from …

Labeled image datasets have played a critical role in high-level image understanding.
However, the process of manual labeling is both time-consuming and labor intensive. To …

Image crop** aims to improve the composition as well as aesthetic quality of an image by
removing extraneous content from it. Existing image crop** databases provide only one or …

In recent years, with the raise of the neural network and deep learning, significant progress
has been achieved in the field of image recognition. Convolutional Neural Network (CNN) …

Danmaku is an emerging comment design for videos that allows real-time, interactive
comments from viewers. Danmaku increases viewers' interaction with other viewers and …

For improving image composition and aesthetic quality, most existing methods modulate the
captured images by striking out redundant content near the image borders. However, such …

Video-based pedestrian reidentification is an emerging task in video surveillance and is
closely related to several real-world applications. Its goal is to match pedestrians across …

In learning applications, exploring the cluster structures of the high dimensional data is an
important task. It requires projecting or visualizing the cluster structures into a low …