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Author

W. Pedrycz

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Sep 2026

Adaptive Hypergraph-Induced Dual-Structure Tensor Embedding for Multi-View Image Representation Learning.

Multi-View Multi-Label Learning is pivotal for visual content understanding yet faces two fundamental bottle-necks: (i) Structural Decoupling, where prevalent matrix flattening severs intrinsic high-order correlations between visual features and semantic concepts; and (ii) Semantic Uniformity Bias, where the neglect of...

Ping-Ting Hao, Hui-Jie Zhang, Yong-Shan Zhang et al. · 0 citations
Preprint Aug 2026

Quantum Incremental Learning with Mixed State Prototypes

Incremental learning models are required to learn new classes sequentially without catastrophic forgetting, while operating under parameter and memory constraints. In the Noisy Intermediate-Scale Quantum (NISQ) era, although quantum neural networks offer advantages in feature mapping, hardware limitations restrict circ...

Yu Wu, Qian-Li Zhou, Xin-Yang Deng et al. · 0 citations

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