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Often, two music pieces may be rhythmically similar, despite being composed of different instrument sets. These instrument sets though acoustically different, play similar rhythmic roles and hence project similar rhythmic feel. Also, the accompaniment music, besides the dominant drums or brass, may influence one's perception of the similarity/dissimilarity of two music pieces. These motivate our study...
Although drum loops are widely present in many audio recordings of modern style music, there is little research that deals with automatic extraction of drum loops in polyphonic music audio. This paper presents an approach for drum loop pattern extraction, based on a technique of fusing the meter estimation information and onset clustering information. The extracted drum loop patterns are formed based...
This paper describes the idea of MOEA/D and proposes a strategy for allocating the computational resource to different subproblems in MOEA/D. The new version of MOEA/D has been tested on all the CEC09 unconstrained MOP test instances.
We present an algorithm for active learning (adaptive selection of training data) within the context of semi-supervised multi-task classifier design. The semi-supervised multi-task classifier exploits manifold information provided by the unlabeled data, while also leveraging relevant information across multiple data sets. The active-learning component defines which data would be most informative to...
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