Mike Izbicki About Me My research makes machine learning algorithms faster. I’ve developed improved data structures for nearest neighbor queries and faster distributed learning procedures. I use techniques from high di

Source URL: izbicki.me

• Cybernetics
• Computing
• Technology
• Software engineering
• Computational neuroscience
• International Conference on Machine Learning
• Outline of machine learning
• Machine learning
• Haskell
• University of California
• Riverside
• Artificial intelligence

Cover Trees for Nearest Neighbor Alina Beygelzimer IBM Thomas J. Watson Research Center, Hawthorne, NY 10532

Source URL: hunch.net

Nearest Neighbor 3D Segmentation with Context Features Evelin Hristovaα, β , Heinrich Schulzβ , Tom Broschβ , Mattias P. Heinrichγ , Hannes Nickischβ α Hamburg University of Applied Sciences, Hamburg, Germany; β

Source URL: hannes.nickisch.org

A Note on the Nearest Neighbor in Growth-Restricted Metrics Kirsten Hildrum John Kubiatowicz Sean Ma Satish Rao

Source URL: oceanstore.cs.berkeley.edu

New directions in nearest neighbor searching with applications to lattice sieving-0.1cm

Source URL: thijs.com

PaperSession 4: Machine Learning, 3:30 PM - 5:30 PM, Salon B Nearest Neighbor 3D Segmentation with Context Features

Source URL: hannes.nickisch.org

Distributed Computing Prof. R. Wattenhofer BA/MA/SA/Group: Nearest Neighbor Search in Ultrametric Spaces

Source URL: www.tik.ee.ethz.ch

DLSH: A Distribution-aware LSH Scheme for Approximate Nearest Neighbor Query in Cloud Computing Yuanyuan Sun Yu Hua

Source URL: csyhua.github.io