LEARNING EFFICIENT REPRESENTATIONS FOR SEQUENCE RETRIEVAL Laboratory for the Recognition and Organization of Speech and Audio Colin Raffel, LabROSA, Dept of Electrical Engineering, Columbia University

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Date: 2015-12-30 23:12:49 Machine learning Artificial intelligence Learning Statistics Dynamic programming Dynamic time warping Time series analysis Similarity measure Feature vector Yoshua Bengio Statistical classification Feature		LEARNING EFFICIENT REPRESENTATIONS FOR SEQUENCE RETRIEVAL Laboratory for the Recognition and Organization of Speech and Audio Colin Raffel, LabROSA, Dept of Electrical Engineering, Columbia University Add to Reading List Source URL: colinraffel.com Download Document from Source Website File Size: 1,35 MB Share Document on Facebook

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