It's common for current methods in skeleton-based action recognition to
...
Deep graph embedding is an important approach for community discovery. D...
As a widely used method in machine learning, principal component analysi...
Manifold Learning occupies a vital role in the field of nonlinear
dimens...
Manifold learning now plays a very important role in machine learning an...
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...
Human emotion recognition is an important direction in the field of biom...
Supervised learning methods are widely used in machine learning. However...
The recent introduction of depth cameras like Leap Motion Controller all...
Extreme learning machine (ELM) is a new single hidden layer feedback neu...
Robot vision is a fundamental device for human-robot interaction and rob...
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 ...