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Object recognition, which consists of classification and detection, has two important attributes for robustness: (1) Closeness: detection windows should be close to object locations, and (2) Adaptiveness: object matching should be adaptive to object variations in classification. It is difficult to satisfy both attributes by considering classification and detection separately, thus recent studies combine...
Manifold learning is an emerging and promising approach in nonlinear dimension reduction. Representative methods include locally linear embedding (LLE) and Isomap. However, both methods fail to guarantee connectedness of the constructed neighborhood graphs. We propose k variable method called kv-LLE and kv-Isomap to build connected neighborhood graphs so as to enhance the robustness. The applicability...
Digital watermarking is an efficient and promising approach to protect intellectual property rights of digital media. In this paper, a new scheme of robust audio watermarking based on Fractional Fourier transform (FRFT) domain for copyright protection is proposed, which utilizes the idea that FRFT can be considered as a rotation in time-frequency joint domain. Test results for imperceptibility of...
In the Internet shopping environment, changes of customer's needs grow increasingly outstanding. For discovering the changes, the paper mines the transaction databases of different time periods by using association rule discovery, and extracts the association rules and discovers the changes in network customer behavior by comparison and analysis between the two sets of association rules. This paper...
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