Rearrangement reactions, one of the most significant transformations in organic chemistry,
play an irreplaceable role in improving synthetic efficiency and molecular complexity. …

Compared with supervised learning for feature selection, it is much more difficult to select
the discriminative features in unsupervised learning due to the lack of label information. …

As a way to relieve the tedious work of manual annotation, active learning plays important
roles in many applications of visual concept recognition. In typical active learning scenarios, …

Multimedia event detection has been one of the major endeavors in video event analysis. A
variety of approaches have been proposed recently to tackle this problem. Among others, …

Fluorine incorporation by concomitant fluoroalkyl radical addition to alkene or alkyne and
functional group migration (FGM) represents an ingenious and robust strategy for the synthesis …

Research on event-based processing and analysis of media is receiving an increasing attention
from the scientific community due to its relevance for an abundance of applications, from …

While much progress has been made to multi-task classification and subspace learning,
multi-task feature selection has long been largely unaddressed. In this paper, we propose a …

To improve both the efficiency and accuracy of video semantic recognition, we can perform
feature selection on the extracted video features to select a subset of features from the high-…

The Kinect sensing devices have been widely used in current Human-Computer Interaction
entertainment. A fundamental issue involved is to detect users’ motions accurately and …

The number of web images has been explosively growing due to the development of network
and storage technology. These images make up a large amount of current multimedia data …