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Audio is an important part of multimedia, and it has many useful applications in real life. Audio event classification is a key technology in audio management and application. Supervised audio event classification requires labeling large amounts of samples, while manual labeling is a very time-consuming work. In this paper we propose SVMCKNND, an active learning method for SVM classifier, to deal...
Scene classification is useful for automatic organization of personal digital photographs or visual guidance of robots, but it is a time consuming and labor-intensive task to label adequate examples to train robust classifiers. Active learning is a key technique to reduce human-labeling burden by exploring an optimal subset from unlabeled data. In this paper we use a batch mode incremental and active...
In internet era, though emails turn into one of the most popular way for communication, spam emails also bother people seriously. As a result, research on email filtering has become a hot topic with much effort put into this area. Unfortunately, in the real-world application, the large-scale training email dataset which differs from the assumption made in experiment challenges both efficiency and...
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