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Stochastic k- Neighborhood Selection for Supervised and Unsupervised Learning

Stochastic k- Neighborhood Selection for Supervised and Unsupervised Learning. Danny Tarlow. Kevin Swersky. Ilya Sutskever. Laurent Charlin. Richard Zemel. University of Toronto Machine Learning Seminar Feb 21, 2013. Distance Metric Learning. Distance metrics are everywhere.

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843 views • 43 slides

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KnoteBox. Joe Kramer, Leo Ovanesyan, Jimmy Thompson. Project Objectives. Recognize musical notes from an analog sound input in real-time and output MIDI data to a computer. A 4 B 7 F 5 G 3 A 6. MIDI. KnoteBox. System Overview. Power ctrl. FPGA. MCU. Audio in. ADC/

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484 views • 35 slides

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Neighbor method - PowerPoint PPT Presentation

Stochastic k- Neighborhood Selection for Supervised and Unsupervised Learning

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