Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

In many medical imaging tasks, precise representation of such information is crucial due to the inherently intricate anatomical structures, sub-visual features, and complex boundaries involved.

Unlike conventional data, where each instance is represented in a feature-value vector format, graphs exhibit node–edge structural relationships and have no natural vector representation. This ...

This paper proposes an innovative Multi-Branch with Different Feature Representations Network (MDRNet ... the BCI Competition IV 2a and 2b datasets indicate that MDRNet attained classification ...

@inproceedings{ xia2023papi, title={Towards Effective Visual Representations for Partial-Label Learning}, author={S. Xia, J. Lv, N. Xu, G. Niu, and X. Geng}, booktitle={Proceedings of 36th IEEE/CVF ...