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We present a novel nearest neighbor search scheme named aggregating tree (A-Tree) for high dimensional data that uses vector quantization encodings (VQ-encodings) to build a radix tree, and perform the nearest neighbor search by beam search. To search accurately and efficiently, we suggest VQ-encodings to satisfy locally aggregating encoding criterion: for any node of the corresponding A-Tree, neighboring...
Recent results have empirically proved that, given several related tasks with different data distributions and an algorithm that can utilize both the task-specific and cross-task knowledge, clustering performance of each task can be significantly enhanced. This kind of unsupervised learning method is called multi-task clustering. We focus on tackling the multi-task clustering problem via a 3-factor...
Nowadays, the security of Web pages becomes very important. Zhao and Lu had proposed a PCA-based watermarking scheme for Web pages; their scheme is an effective tool for tamper-proof of Web pages. However, the PCA algorithm is time-consuming, especially when the size of Web page is too large. In this paper, we proposed two novel fragile Web page watermarking schemes, in which simple principal component...
Nowadays, the security of Web pages becomes very important. Zhao and Lu had proposed a PCA-based watermarking scheme for Web pages; their scheme is an effective tool for tamper-proof of Web pages. However, the PCA algorithm is time-consuming, especially when the size of Web page is too large. Chia-Chi Wu et al. proposed a Web page watermarking scheme base on hash functions, claiming that their scheme...
Gabor feature based classification approaches are widely used in face recognition, because they are insensitive to changes in illumination and facial expression. However, most of strategies only use the magnitude of the Gabor wavelet representation of images to generate feature vectors. When only single training image per person is available, the performance of these methods may be limited. In this...
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