20 citations · 75 across the 18 of their papers we have counts for
5 papers · 1 filter
Music Genre Classification with Paralleling Recurrent Convolutional Neural Network
Lin Feng, Shenlan Liu, Jianing Yao
Deep learning has been demonstrated its effectiveness and efficiency in music genre classification. However, the existing achievements still have several shortcomings which impair…
Hand Gesture Recognition with Leap Motion
Youchen Du, Shenglan Liu, Lin Feng +2
The recent introduction of depth cameras like Leap Motion Controller allows researchers to exploit the depth information to recognize hand gesture more robustly. This paper propose…
Rough extreme learning machine: a new classification method based on uncertainty measure
Lin Feng, Shuliang Xu, Feilong Wang +1
Extreme learning machine (ELM) is a new single hidden layer feedback neural network. The weights of the input layer and the biases of neurons in hidden layer are randomly generated…
Feature Fusion using Extended Jaccard Graph and Stochastic Gradient Descent for Robot
Shenglan Liu, Muxin Sun, Wei Wang +1
Robot vision is a fundamental device for human-robot interaction and robot complex tasks. In this paper, we use Kinect and propose a feature graph fusion (FGF) for robot recognitio…
Neural method for Explicit Mapping of Quasi-curvature Locally Linear Embedding in image retrieval
Shenglan Liu, Jun Wu, Lin Feng +1
This paper proposed a new explicit nonlinear dimensionality reduction using neural networks for image retrieval tasks. We first proposed a Quasi-curvature Locally Linear Embedding…