Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …

In this paper we present a theoretical analysis to understand sparse filtering, a recent and
effective algorithm for unsupervised learning. The aim of this research is not to show …

Ear characteristic is a promising biometric modality that has demonstrated good biometric
performance. In this paper, we investigate a novel and challenging problem to verify a …

To address the concerns with power consumption and processing efficiency in big-size data
processing, sparse coding in computing-in-memory (CIM) architectures is gaining much …

The speed of mechanical rotating parts often fluctuates during the working process.
Vibration signals collected under constant speed have a strong correlation with the …

Medical Images data is widely acknowledged for its large volumes, high complexities and
limited labels information, which makes learning-based tasks challenging to obtain …

Population aged 60 and over is growing faster. Ageing-caused changes, such as physical or
cognitive decline, could affect people's quality of life, resulting in injuries, mental health or …

The maximum-likelihood expectation-maximization (ML-EM) algorithm is frequently used for
radiation image reconstruction in positron emission tomography and coded-aperture …

Invariant moment is a highly concentrated and distortion invariant image features. The goal
of multi-moving object characterization and classification methods is to find a suitable …

The speed of mechanical rotating parts often fluctuates during the working process.
Vibration signals collected under constant speed have a strong correlation with the …