Yanbin Jiao

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In this paper, we propose a novel and effective image descriptor— Image Latent Semantic Analysis (ILSA) for extracting latent semantic features of face image. The features are obtained from a feature-image matrix, which obtains a wealth of information than the conventional image semantic and has a stronger expression and classification than the low-level(More)
To overcome the shortcomings of the traditional methods, this paper proposes a novel face recognition method based on the image latent semantic features and ensemble extreme learning machine. The image latent semantic analysis is to acquire the high-level features from the face image, which has good robustness to illumination and expression changes. The(More)
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