Rukun Hu

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Recently support vector machines (SVM) using spatial pyramid matching (SPM) kernel have been highly successful in image classification applications. And linear spatial pyramid matching using sparse coding (ScSPM) scheme has been proposed to enhance the performance of SPM both in time and classification accuracy. In order to reduce the time complexity of(More)
—In order to investigate the performance of visual feature extraction method for automatic image annotation, three visual feature extraction methods, namely discrete cosine transform , Gabor transform and discrete wavelet transform, are studied in this paper. These three methods are used to extract low-level visual feature vectors from images in a given(More)
—Face recognition often suffers from the Small Sample Size problem. Regularization is one of the solutions to this problem. In this paper, we investigate the Kullback-Leibler information measure (KLIM) based regularization classifiers for face recognition. Two parameter estimation approaches including the cross-validation technique and model selection(More)
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