Related references
Note: Only part of the references are listed.Inductive Structure Consistent Hashing via Flexible Semantic Calibration
Zheng Zhang et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)
Hyper-Laplacian regularized multi-view subspace clustering with low-rank tensor constraint
Gui-Fu Lu et al.
NEURAL NETWORKS (2020)
Sparse two-dimensional discriminant locality-preserving projection (S2DDLPP) for feature extraction
Minghua Wan et al.
SOFT COMPUTING (2019)
Virtual dictionary based kernel sparse representation for face recognition
Zizhu Fan et al.
PATTERN RECOGNITION (2018)
Local graph embedding based on maximum margin criterion via fuzzy set
Minghua Wan et al.
FUZZY SETS AND SYSTEMS (2017)
Robust Neighborhood Preserving Projection by Nuclear/L2,1-Norm Regularization for Image Feature Extraction
Zhao Zhang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2017)
Feature extraction based on fuzzy class mean embedding (FCME) with its application to face and palm biometrics
Minghua Wan et al.
MACHINE VISION AND APPLICATIONS (2012)
Beyond sparsity: The role of L1-optimizer in pattern classification
Jian Yang et al.
PATTERN RECOGNITION (2012)
Feature extraction based on fuzzy local discriminant embedding with applications to face recognition
M. Wan et al.
IET COMPUTER VISION (2011)
Face recognition using a fuzzy fisherface classifier
KC Kwak et al.
PATTERN RECOGNITION (2005)
Laplacian eigenmaps for dimensionality reduction and data representation
M Belkin et al.
NEURAL COMPUTATION (2003)
Nonlinear dimensionality reduction by locally linear embedding
ST Roweis et al.
SCIENCE (2000)
A global geometric framework for nonlinear dimensionality reduction
JB Tenenbaum et al.
SCIENCE (2000)