Search Results for author: Chun-Na Li

Found 8 papers, 0 papers with code

Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications

no code implementations11 Nov 2020 Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li, Lan Bai, Yuan-Hai Shao

Recently proposed L2-norm linear discriminant analysis criterion via the Bhattacharyya error bound estimation (L2BLDA) is an effective improvement of linear discriminant analysis (LDA) for feature extraction.

Image Reconstruction

Capped norm linear discriminant analysis and its applications

no code implementations4 Nov 2020 Jiakou Liu, Xiong Xiong, Pei-Wei Ren, Da Zhao, Chun-Na Li, Yuan-Hai Shao

To improve the robustness of LDA, in this paper, we introduce capped l_{2, 1}-norm of a matrix, which employs non-squared l_2-norm and "capped" operation, and further propose a novel capped l_{2, 1}-norm linear discriminant analysis, called CLDA.

Principal Component Analysis Based on T$\ell_1$-norm Maximization

no code implementations23 May 2020 Xiang-Fei Yang, Yuan-Hai Shao, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng

Classical principal component analysis (PCA) may suffer from the sensitivity to outliers and noise.

Single and Union Non-parallel Support Vector Machine Frameworks

no code implementations22 Oct 2019 Chun-Na Li, Yuan-Hai Shao, Huajun Wang, Yu-Ting Zhao, Ling-Wei Huang, Naihua Xiu, Nai-Yang Deng

The other type constructs all the hyperplanes simultaneously, and it solves one big optimization problem with the ascertained loss of each sample.

General Classification

A general model for plane-based clustering with loss function

no code implementations26 Jan 2019 Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu

In this paper, we propose a general model for plane-based clustering.

Ramp-based Twin Support Vector Clustering

no code implementations10 Dec 2018 Zhen Wang, Xu Chen, Chun-Na Li, Yuan-Hai Shao

Traditional plane-based clustering methods measure the cost of within-cluster and between-cluster by quadratic, linear or some other unbounded functions, which may amplify the impact of cost.

Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm

no code implementations6 Nov 2018 Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng

In this paper, we propose a novel linear discriminant analysis criterion via the Bhattacharyya error bound estimation based on a novel L1-norm (L1BLDA) and L2-norm (L2BLDA).

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