Neighborhood linear discriminant analysis

On removing potential redundant constraints for SVOR learning

(2021) Fa Zhu et al.   APPLIED SOFT COMPUTING

EEG signals analysis for epileptic seizures detection using polynomial transforms, linear discriminant analysis and support vector machines

(2020) Laurent Chanel Djoufack Nkengfack et al.   Biomedical Signal Processing and Control

Dual subspace discriminative projection learning

(2020) Gregg Belous et al.   PATTERN RECOGNITION

Speed-up and multi-view extensions to subclass discriminant analysis

(2020) Kateryna Chumachenko et al.   PATTERN RECOGNITION

Hyperspectral image classification via discriminative convolutional neural network with an improved triplet loss

(2020) Ke-Kun Huang et al.   PATTERN RECOGNITION

Cross-modal discriminant adversarial network

(2020) Peng Hu et al.   PATTERN RECOGNITION

One-pass Person re-identification by Sketch Online Discriminant Analysis

(2019) Wei-Hong Li et al.   PATTERN RECOGNITION

Multi-View Linear Discriminant Analysis Network

(2019) Peng Hu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Towards Robust Discriminative Projections Learning via Non-Greedy -Norm MinMax

(2019) Feiping Nie et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis

(2018) Qiaolin Ye et al.   NEURAL NETWORKS

Manifold Partition Discriminant Analysis

(2017) Yang Zhou et al.   IEEE Transactions on Cybernetics

Multi-View Discriminant Analysis

(2016) Meina Kan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A weighted one-class support vector machine

(2016) Fa Zhu et al.   NEUROCOMPUTING

Extended nearest neighbor chain induced instance-weights for SVMs

(2016) Fa Zhu et al.   PATTERN RECOGNITION

Reverse Nearest Neighbors in Unsupervised Distance-Based Outlier Detection

(2015) Milos Radovanovic et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Generalized Consistent Error Estimator of Linear Discriminant Analysis

(2015) Amin Zollanvari et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Learning Regularized LDA by Clustering

(2014) Yanwei Pang et al.   IEEE Transactions on Neural Networks and Learning Systems

Linear Discriminant Analysis Based on L1-Norm Maximization

(2013) Fujin Zhong et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Enhanced iterative projection for subclass discriminant analysis under EM-alike framework

(2013) Yuting Tao et al.   PATTERN RECOGNITION

Fisher Discriminant Analysis With L1-Norm

(2013) Haixian Wang et al.   IEEE Transactions on Cybernetics

Mixture Subclass Discriminant Analysis Link to Restricted Gaussian Model and Other Generalizations

(2012) Nikolaos Gkalelis et al.   IEEE Transactions on Neural Networks and Learning Systems

A Least-Squares Framework for Component Analysis

(2011) F. De la Torre   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

From classifiers to discriminators: A nearest neighbor rule induced discriminant analysis

(2011) Jian Yang et al.   PATTERN RECOGNITION

Nonparametric Discriminant Analysis for Face Recognition

(2009) Zhifeng Li et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

(2009) Salvador García et al.   INFORMATION SCIENCES

KEEL: a software tool to assess evolutionary algorithms for data mining problems

(2008) J. Alcalá-Fdez et al.   SOFT COMPUTING