During the last decade, the deluge of multimedia data has impacted a wide range of
research areas, including multimedia retrieval, 3D tracking, database management, data …

High-dimensional problem poses significant challenges for dictionary learning based
classification architecture. Joint Dimension Reduction and Dictionary Learning (JDRDL) …

Algorithms on streaming data have attracted increasing attention in the past decade. Among
them, dimensionality reduction algorithms are greatly interesting due to the desirability of …

Processing multimedia content has emerged as a key area for the application of machine
learning techniques, where the objectives are to provide insight into the domain from which …

Limited by the shallow structure, broad learning system (BLS) suffers from the high-
dimensional data classification difficulty. To this end, the cascade of the convolutional …

In the era of big data, all types of data with increasing samples and high-dimensional
attributes are demonstrating their important roles in various fields, such as data mining …

This paper addresses the problem of representing multimedia information under a
compressed form that permits efficient classification. The semantic coding problem starts …

Multispectral sensors have been used to gather data about the Earth's surface since the
1960's. Data analysis methods for multispectral data with less than 20 or so spectral bands …

Due to advances in sensor, storage, and networking technologies, data is being generated
on a daily basis at an ever-increasing pace in a wide range of applications, including cloud …

Over the last decade, a surge in multimedia data has significantly impacted research areas
like multimedia retrieval, database management, and medical imaging. Traditional machine …