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High dimensional feature vectors are extracted for supporting the content-based image search. The indexing schemes for efficiently searching high-dimensional feature vectors are needed. In this paper, we propose a dynamic high dimensional indexing scheme for efficient contents based image retrieval. The proposed index scheme reduces the size of internal node information by eliminating internal node...
This paper presents an accelerating face detection algorithm using Coarse Grained Reconfigurable Architectures (CGRA). Face detection algorithms usually use several stages of cascaded face detectors and require large amount of feature data, while general processors have small internal memory. Since the latency from external memory is much longer than internal memory, efficient use of memory is important...
Malicious botnet is evolving very quickly and using the many ways to evade detection system. The change of protocol is the most important part of the malicious botnet's evolution and evasion techniques. The initial malicious botnet was using the IRC protocol for communication between the command and contorl server and the zombie system. After that they use the HTTP protocol on the firewall-friendly...
In this paper, we propose a scheme to improve the performance of subspace learning by using a pattern (data) selection method as preprocessing. Generally, a training set for subspace learning contains irrelevant or unreliable samples, and removing these samples can improve the learning performance. For this purpose, we use pattern selection preprocessing which discriminates decision boundary/non-boundary...
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