The class imbalance problem is a challenging problem in the data mining area. To
overcome the low classification performance related to imbalanced datasets, sampling …

Graph signal processing (GSP) uses a shift operator to define a Fourier basis for the set of
graph signals. The shift operator is often chosen to capture the graph topology. However, in …

This paper presents a theoretical derivation of two new graph-based regularization methods
for fusing the individual results of multiple detectors (two-class classifiers). The proposed …

Session-based recommendation aims to predict the next item an anonymous user is most
likely to click based on its limited historical behaviors. However, in session-based …

Pupil tracking plays a crucial role in various applications, including human–computer
interactions, biometric identification, and Autostereoscopic three-dimensional (3D) displays …

It is demonstrated that data augmentation is a promising approach to reduce the size of the
captured dataset required for training automatic road surface classifiers. The context is on …

This paper introduces a new procedure to improve table header detection in handwritten text
images from the fusion of the posterior probabilities provided by two baseline classifiers …

The joint application of singular spectrum analysis (SSA) approach (basic variant or
adaptive variant) and unitary transformation of the forward-backward data matrix obtained …

In order to solve the problems of low detection efficiency and safety of artificial surface
defects in hot-state cross wedge rolling shaft production line, a machine vision-based …

Extraction of subsets of highly connected nodes (“communities” or modules) is a standard
step in the analysis of complex social and biological networks. We here consider the …