Avoiding Optimal Mean ℓ2,1-Norm Maximization-Based Robust PCA for Reconstruction

Generalized mean for robust principal component analysis

(2016) Jiyong Oh et al.   PATTERN RECOGNITION

Compound Rank- $k$ Projections for Bilinear Analysis

(2016) Xiaojun Chang et al.   IEEE Transactions on Neural Networks and Learning Systems

Block Principal Component Analysis With Nongreedy $\ell _{1}$ -Norm Maximization

(2016) Bing Nan Li et al.   IEEE Transactions on Cybernetics

Generalized 2-D Principal Component Analysis by Lp-Norm for Image Analysis

(2016) Jing Wang   IEEE Transactions on Cybernetics

Robust 2DPCA With Non-greedy $\ell _{1}$ -Norm Maximization for Image Analysis

(2015) Rong Wang et al.   IEEE Transactions on Cybernetics

Robust (Semi) Nonnegative Graph Embedding

(2014) Hanwang Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Optimal Algorithms for $L_{1}$-subspace Signal Processing

(2014) Panos P. Markopoulos et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Principal Component Analysis by $L_{p}$ -Norm Maximization

(2013) Nojun Kwak   IEEE Transactions on Cybernetics

Robust Principal Component Analysis Based on Maximum Correntropy Criterion

(2011) Ran He et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Improve robustness of sparse PCA by L1-norm maximization

(2011) Deyu Meng et al.   PATTERN RECOGNITION

L1-Norm-Based 2DPCA

(2010) Xuelong Li et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Robust Tensor Analysis With L1-Norm

(2009) Yanwei Pang et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Principal Component Analysis Based on L1-Norm Maximization

(2008) N. Kwak   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE