Sparse regularization for semi-supervised classification - Fan, Mingyu; Gu, Nannan; Qiao, Hong; Zhang, Bo (Pattern recognition, 2011)
Keywords: Algorithms; Applied sciences; Classification; Cost function; Data points; Dimensionality reduction; Exact sciences and technology; Information, signal and communications theory; Learning; Least squares method; Manifolds; Preserves; Regularization; Regularization theory; Regularized least square classification; Semi-supervised learning; Signal and communications theory; Signal representation. Spectral analysis; Signal, noise; Telecommunications and information theory; Dimensionality reduction; Regularization theory; Semi-supervised learning; Regularized least square classification; Performance evaluation; Discriminant analysis; Automatic classification; L1 approximation; Signal classification; Supervised classification; Dimension reduction; Supervised learning; Least squares method; Cost function; Sparse representation; Learning algorithm