Haijun Wang
Henan University of Science and Technology
4 Papers
12 Citations
Haijun Wang is an academic researcher from Henan University of Science and Technology. The author has contributed to research in topics: Computer science & Statistical classification. The author has an hindex of 1, co-authored 2 publications.
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Papers
Orthogonal sparse linear discriminant analysis
TL;DR: The k nearest neighbour graph is first constructed to preserve the locality discriminant information of sample points, and L2,1-norm constraint on the projection matrix is used to act as loss function, which can make the proposed method robust to outliers in data points.
15
Low-resolution face recognition based on feature-mapping face hallucination
TL;DR: Zhang et al. as mentioned in this paper proposed a novel face hallucination and recognition model for low-resolution face images ground on feature-mapping, and a new loss function named identity-aware loss is also proposed.
13
An Improved Kernel Minimum Square Error Classification Algorithm Based on $L_{2,1}$ -Norm Regularization
TL;DR: An improved kernel minimum square error classification (IKMSEC) is proposed by using the $L_{2,1}$ -norm regularization, which can obtain a sparse representation of nonlinear features to guarantee an efficient classification performance.