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Zhi-Hua Zhou
Researcher at Nanjing University
Publications - 633
Citations - 64307
Zhi-Hua Zhou is an academic researcher from Nanjing University. The author has contributed to research in topics: Semi-supervised learning & Artificial neural network. The author has an hindex of 102, co-authored 626 publications receiving 52850 citations. Previous affiliations of Zhi-Hua Zhou include Michigan State University & Tokyo Institute of Technology.
Papers
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Proceedings Article
Multi-Instance Multi-Label Learning with Application to Scene Classification
Zhi-Hua Zhou,Min-Ling Zhang +1 more
TL;DR: This paper formalizes multi-instance multi-label learning, where each training example is associated with not only multiple instances but also multiple class labels, and proposes the MIMLBOOST and MIMLSVM algorithms which achieve good performance in an application to scene classification.
Proceedings ArticleDOI
A k-nearest neighbor based algorithm for multi-label classification
Min-Ling Zhang,Zhi-Hua Zhou +1 more
TL;DR: Experiments on a real-world multi- label bioinformatic data show that ML-kNN is highly comparable to existing multi-label learning algorithms.
Journal ArticleDOI
Multi-instance multi-label learning
TL;DR: This paper proposes the MimlBoost and MimlSvm algorithms based on a simple degeneration strategy, and experiments show that solving problems involving complicated objects with multiple semantic meanings in the MIML framework can lead to good performance.
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Projection functions for eye detection
Zhi-Hua Zhou,Xin Geng +1 more
TL;DR: The generalized projection function (GPF) is defined and it is shown that IPF, VPF, and HPF are all effective in eye detection, while HPF is better thanVPF, while VPF isbetter than IPF.
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Supervised nonlinear dimensionality reduction for visualization and classification
TL;DR: The results reveal that S-Isomap excels compared to Isomap and WeightedIso in classification, and it is highly competitive with those well-known classification methods.