A hybrid approach combining extreme learning machine and sparse representation for image classification
It is combined with Extreme Learning Machine (ELM) and Sparse Representation based Classification (SRC) method. Though analysis of ELM output, we give a criteria to estimate ELM misclassified images. ELM misclassified images are further classified by SRC method. It outperforms ELM in classification accuracy while partially inheriting the high speed of ELM. It has much less computational complexity than SRC while keeping the high accuracy of SRC.
extreme learning machine sparse representation image classification ?1-norm ? 1 - norm minimization ?1-norm ? 1 - norm ?1-norm ? 1 - norm ? 1 - norm