-dimensionality-trait-driven learning paradigm is proposed for feature extraction and classifier selection. The proposed paradigm consists of three main …-dimensionality-trait-driven classifier selection. In the first stage, according to the definition of high-dimensionality and the relationship between sample … that the proposed high-dimensionality-trait-driven learning paradigm for feature extraction and classifier selection is …

-dimensionality-trait-driven learning paradigm is proposed for feature extraction and classifier selection. The proposed paradigm consists of three main …-dimensionality-trait-driven classifier selection. In the first stage, according to the definition of high-dimensionality and the relationship between sample … that the proposed high-dimensionality-trait-driven learning paradigm for feature extraction and classifier selection is …

of classifier selection based on characteristics of images including image size, quantization factor, or matrix. Besides …