As one kind of distributed machine learning technique, federated learnin...
Federated learning is an emerging privacy-preserving distributed machine...
Covert communication has become an important area of research in compute...
Feature selection (FS) plays an important role in machine learning, whic...
Interactions among features are central to understanding the behavior of...
Background: To develop an artificial intelligence system that can accura...
This paper presents an algorithm to solve the Soft k-Means problem globa...
3D hand-object pose estimation is the key to the success of many compute...
The dynamic job-shop scheduling problem (DJSP) is a class of scheduling ...
Digital image watermarking seeks to protect the digital media informatio...
This work studies the task of glossification, of which the aim is to em
...
Multi-task learning has been observed by many researchers, which suppose...
The collective attention on online items such as web pages, search terms...
In recent years, hyperspectral anomaly detection (HAD) has become an act...
Due to their important applications to coding theory, cryptography,
comm...
Combinatorial t-designs have been an important research subject for many...
This work aims at solving the problems with intractable sparsity-inducin...
The AdaBoost algorithm has the superiority of resisting overfitting.
Und...