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Software testing is becoming more and more important as it is a widely used activity to ensure software quality. Testing is now an essential phase in software development life cycle. Test execution becomes an activity in the critical path of project development. In this case, a good test execution effort estimation approach can benefit both tester managers and software projects.This paper proposes...
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training, while making labeled samples is a time consuming and exhausting work. A semi-supervised LDA (SDA) has been proposed recently to enable training of LDA with partially labeled samples. In this paper, we first reformulate...
In this study, we propose a novel sound localization method, in which the feature differences of observation signals obtained from the two microphones are used. The features are learned based on the algorithm of the SOM (self organizing maps) and the SOM of 3-D sound source direction is made. Furthermore, the five kinds of objects sound from each direction are used to conforming experiment and the...
For a large class of applications, there is time to train the system. In this paper, we propose a learning-based approach to patch perspective rectification, and show that it is both faster and more reliable than state-of-the-art ad hoc affine region detection methods. Our method performs in three steps. First, a classifier provides for every keypoint not only its identity, but also a first estimate...
In this paper the important recognition task of information class reduction possibility by combinatorial approach has been solved. Class reduction process has been realized on the basis of recognition results registered from the experiment.
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