Ke Ma

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Automatic chord recognition is the first step towards complex analyses of music. It has became an active research topic and is of importance for both scientific research and commercial applications. Many methods have been proposed to attack this problem, most of which are based on the Pitch Class Profile. I propose a novel automatic chord recognition method(More)
We propose a single image super-resolution method based on coupled dictionaries and neural networks. Our method models the relationship between low-and high-resolution images with a cascade of two distinct learners, and they both contribute to the overall performance, which shares the same ideas with ensemble learning. We discuss how to select the tunable(More)
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