The immutable and trustable characteristics of blockchain enable smart
c...
The security of artificial intelligence (AI) is an important research ar...
Temporal action segmentation (TAS) is a critical step toward long-term v...
In recent years, multi-view learning technologies for various applicatio...
Deep graph embedding is an important approach for community discovery. D...
In recent years, we have witnessed a surge of interests in learning a
su...
In recent years, we have witnessed a surge of interest in multi-view
rep...
Action recognition is an important and challenging problem in video anal...
During the last decades, learning a low-dimensional space with discrimin...
Manifold learning now plays a very important role in machine learning an...
During the last decades, we have witnessed a surge of interests of learn...
Traditional face alignment based on machine learning usually tracks the
...
Music genre recognition based on visual representation has been successf...
In this paper, we proposed three methods to solve color recognition of
R...
Supervised learning methods are widely used in machine learning. However...
With the development of feature extraction technique, one sample always ...
Deep learning has been demonstrated its effectiveness and efficiency in ...
The recent introduction of depth cameras like Leap Motion Controller all...
Extreme learning machine (ELM) is a new single hidden layer feedback neu...
This paper proposed a new explicit nonlinear dimensionality reduction us...
Incompatibility of image descriptor and ranking is always neglected in i...
Single feature is inefficient to describe content of an image, which is ...