Semi‐supervised Robust Feature Selection with ℓq‐Norm Graph for Multiclass Classification

Author:

Hui LUO1,Jiqing HAN1

Affiliation:

1. Harbin Institute of TechnologyaHarbin150001China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Applied Mathematics,Electrical and Electronic Engineering

Reference31 articles.

1. A Unified Feature Representation and Learning Framework for 3D Shape

2. Multi-feature Multimodal Biometric Recognition Based on Quaternion Locality Preserving Projection

3. Y.Han K.ParkandY.K.Lee “Confident wrapper‐type semi‐supervised feature selection using an ensemble classifier” Proc. of The 2nd International Conference on Artificial Intelligence Management Science and Electronic Commerce pp.4581—4586 2011.

4. S.Z.Lv H.X.Jiang L.Zhao et al. “Manifold based Fisher method for semisupervised feature selection” Proc. of the International Conference on Fuzzy Systems and Knowledge Discovery Shenyang China pp.664—668 2013.

5. J. J. Y.Wang J.YaoandY.J.Sun “Semi‐supervised local‐learning‐based feature selection” Proc. of the International Joint Conference on Neural Networks Beijing China pp.1942—1948 2014.

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