Mining Compressed Time-Series WeblogsSpeaker: Michalis Vlachos – Lausanne, Switzerland
Topic(s): Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing
AbstractI show techniques for compressing time-series data with very high fidelity. Then I introduce techniques for estimating the similarity between time-series in the compressed domain using optimization principles. The presented techniques offer high compression and accurate estimation of similarities in the compressed domain.
About this LectureNumber of Slides: 60
Duration: 40 minutes
Languages Available: English
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