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This paper proposes a mini-batch discriminative feature weighting methodology for minimization of classification error in datasets with considerable number of classes and poor intra class information. Presented approach improves the classification system by enhancing the components more relevant to the recognition. It is based on the maximization of interclass Euclidean distance by utilization of...
Many tasks in music information retrieval, such as recommendation, and playlist generation for online radio, fall naturally into the query-by-example setting, wherein a user queries the system by providing a song, and the system responds with a list of relevant or similar song recommendations. Such applications ultimately depend on the notion of similarity between items to produce high-quality results...
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