The recent developments in the modern data collection tools, techniques, and storage
capabilities are leading towards huge volume of data. The dimensions of data indicate the …

Single-Sample Face Recognition (SSFR) is a computer vision challenge. In this scenario,
there is only one example from each individual on which to train the system, making it …

Purpose: This study sought to review the characteristics, strengths, weaknesses variants,
applications areas and data types applied on the various Dimension Reduction techniques …

Training graph neural networks (GNNs) on large-scale graphs can be challenging due to the
high computational expense caused by the massive number of nodes and high-dimensional …

As a discriminative biometric modality, palmprint accommodates two attributes of soft
biometrics, namely chirality and gender. Our study reveals that the false matching of a pair of …

Understanding customer behaviour is crucial for business success. For achieving this goal,
the Recency–Frequency–Monetary (RFM) model has been commonly recognised as an …

Single-sample face recognition is a very challenging problem, where each person has only
one labeled training sample. It is difficult to describe unknown facial variations. In this paper …

As one of the most prominent carriers of knowledge, patents can provide masses of cross-
domain knowledge to support the innovative design process of products. However, there is a …

To improve the effectiveness of basketball running training, this paper proposes an AR/VR
technology-based motion capture method for college basketball sports training. This paper …

现有的图聚类方法主要存在两方面的问题, 一是对各个类规模一致的假设, 在许多实际应用中并
不成立; 二是在处理多类聚类问题时, 其所常借助的递归技术或启发式算法会影响聚类的性能 …