Kernel sparse representation with pixel-level and region-level local feature kernels for face recognition - Kang, Cuicui; Liao, Shengcai; Xiang, Shiming; Pan, Chunhong (Neurocomputing (Amsterdam), 2014)
Keywords: [formula omitted]-Norm minimization; Algorithmics. Computability. Computer arithmetics; Algorithms; Applied sciences; Artificial intelligence; Classification; Computer science; control theory; systems; Coordinate descent; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Face recognition; Illumination; Information, signal and communications theory; Kernels; LBP; Occlusion; Pattern recognition. Digital image processing. Computational geometry; Representations; Signal and communications theory; Signal, noise; Sparse representation classification; Telecommunications and information theory; Theoretical computing; Kernels; ℓ1-Norm minimization; Sparse representation classification; LBP; Face recognition; Coordinate descent; Occlusion; Image processing; Autoregressive model; Coordinate system; ℓ; Norm minimization; Facies; Illumination; Sparse representation; Computer vision; Image databank; Minimization; Regression analysis; Pattern recognition; Computational complexity; Kernel method; Image analysis; Luminance; Descent method; Occultation; Pixel; Image classification