Katherine M. Kinnaird

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We present aligned hierarchies, a novel solution to the dimension reduction problem, representing high-dimensional and noisy sequential data as a low-dimensional object that encodes relevant information. In this thesis, we motivate our presentation and discussion of aligned hierarchies through the lens of Music Information Retrieval (MIR), constructing(More)
We introduce aligned hierarchies, a low-dimensional representation for music-based data streams, such as recordings of songs or digitized representations of scores. The aligned hierarchies encode all hierarchical decompositions of repeated elements from a high-dimensional and noisy music-based data stream into one object. These aligned hierarchies can be(More)
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