3 accepted papers
Multi-view data usually suffer from partially missing views in open scenarios, which inevitably degrades clustering performance. The incomplete multi-view clustering (IMVC) has attracted increasing attention and achieved significant success. Although existing imputation-based IMVC methods perform we…
Exoskeleton robots are an effective method for enhancing human walking ability. This paper introduces a quasi-passive variable stiffness ankle exoskeleton, which absorbs negative work produced during ankle dorsiflexion in the stance phase of the gait cycle and releases energy to assist plantar flexi
Due to its powerful capability of self-supervised representation learning and clustering, contrastive attributed graph clustering (CAGC) has achieved great success, which mainly depends on effective data augmentation and contrastive objective setting. However, most CAGC methods utilize edges as auxi…