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Zhuowen Tu @ eHarmony

12:00 arrival and lunch served
12:30 talk starts
13:30 end of Q&A

Title: Unsupervised Metric Learning: Diffusion, Ensemble, and Subspaces


In this talk, we will discuss a series of diffusion-based metric learning algorithms, which utilize the intrinsic data manifold without the time-consuming process for the manifold reconstruction. Using single or multiple input metrics (fusion), we will see significantly enhanced state-of-the-art results in applications for retrieval, classification, clustering, and segmentation. The diffusion idea can be further carried to construct k-NN graphs for large-scale high-dimensional data by excising three ideas altogether: ensemble, divide-and-conquer, and subspace learning. We show large speed-up in dealing with large scale datasets.


Zhuowen Tu is an assistant professor in the Department of Cognitive Science, and the Department of Computer Science and Engineering, University of California, San Diego. Before joining UCSD, he was an assistant professor at UCLA. Between 2011 and 2013, he took a leave to work at Microsoft Research Asia. He received his Ph.D. from the Ohio State University and his M.E. from Tsinghua University.

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  • Jon M.

    The video has been uploaded to Hope everyone found this interesting.

    June 11, 2014

  • Matti S

    Remember to RSVP to Big Data Camp LA, Sat June[masked] at DirectTV. We will have several tracks. We're gathering sponsors so the event will be FREE for attendees. Feel free to ask me any questions at the meetup. Thank You.

    May 30, 2014

    • Jimmy K.

      2260 east imperial highway, El Segundo. Visitor parking is across the street. See you there.

      1 · May 30, 2014

    • Mohith

      Thank you Jimmy! I look forward to it! See you!

      1 · May 30, 2014

  • Mohith

    Please post the link to the video! Thank you!

    May 30, 2014

  • Scott E.

    Will this be recorded?

    May 10, 2014

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