Hibiki Saito

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—Software testing is an important part of the software development process. Much work been has done on automating various parts of testing. In previous work, we had proposed a knowledge-based approach to generate test scenarios for Web applications. However, our previous work did not account for generation of actual test data. Thus, in order to execute the(More)
This paper presents a novel methodology for pattern classification, combining different feature extraction approaches, more precisely, global PCA, block-based PCA and LDA in order to improve the face classification performance. Block-based PCA is a new technique that is being widely used for feature extraction, especially in face recognition. Basically, the(More)
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