In this paper, we propose a novel Single Noisy Audio De-noising Framewor...
Deep learning is a hot research topic in the field of machine learning
m...
A speech separation task can be roughly divided into audio-only separati...
Deep learning is a research hot topic in the field of machine learning.
...
Although convolutional neural network (CNN) has made great progress, lar...
One of the key challenges in the area of signal processing on graphs is ...
Although Convolutional Neural Networks (CNNs) achieve effectiveness in
v...
Objective: The present study introduces a fractional wavelet scattering
...
The astonishing success of AlphaGo ZeroSilver_AlphaGo invokes a
worldwid...
Why and how that deep learning works well on different tasks remains a
m...
In this paper, we propose a new simple and learning-free deep learning
n...
The principal component analysis network (PCANet), which is one of the
r...
In order to classify the nonlinear feature with linear classifier and im...
The Principal Component Analysis Network (PCANet), which is one of the
r...
This paper proposes a multilinear discriminant analysis network (MLDANet...
The recently proposed principal component analysis network (PCANet) has ...
Texture plays an important role in many image analysis applications. In ...