Underwater acoustic target recognition is a challenging task owing to th...
Underwater acoustic target recognition is an intractable task due to the...
Analyzing the ocean acoustic environment is a tricky task. Background no...
Underwater acoustic recognition for ship-radiated signals has high pract...
Graph Convolutional Networks (GCNs) have been proved successful in the f...
The centrality and diversity of the labeled data are very influential to...
Recently, end-to-end automatic speech recognition models based on
connec...
We consider a nonlinear inverse problem 𝐲= f(𝐀𝐱), where
observations 𝐲∈ℝ...
The support vector machine (SVM) is a well-established classification me...
While second order optimizers such as natural gradient descent (NGD) oft...
We consider the linear model 𝐲 = 𝐗β_⋆ +
ϵ with 𝐗∈ℝ^n× p in the
overparam...
This paper proposes a new method for simultaneous 3D reconstruction and
...
We study least squares linear regression over N uncorrelated Gaussian
fe...
The "double descent" risk curve was recently proposed to qualitatively
d...
Phase retrieval refers to the problem of recovering a signal
x_∈C^n from...
Risk estimation is at the core of many learning systems. The importance ...
Expectation Maximization (EM) is among the most popular algorithms for
m...
We consider an ℓ_2-regularized non-convex optimization problem for
recov...
We consider an ℓ_2-regularized non-convex optimization problem for
recov...
Graph based semi-supervised learning (GSSL) has intuitive representation...
Long Short-Term Memory (LSTM) is the primary recurrent neural networks
a...
Expectation Maximization (EM) is among the most popular algorithms for
e...
This paper reveals the tree structure as an intermediate result of clust...