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Distortion lower bound - PowerPoint PPT Presentation

Dimension Reduction in the L 1 norm

Dimension Reduction in the L 1 norm. Moses Charikar Princeton University Joint work with Amit Sahai Princeton University. Low Distortion Embeddings. f. Given Metric Spaces ( M 1 , d 1 ) & ( M 2 , d 2 ) , embedding f : M 1 ? M 2 has distortion ? if ? x , y ? M 1 :

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578 views • 40 slides

Approximation Algorithms for Low-Distortion Embeddings into the Line/Plane

Approximation Algorithms for Low-Distortion Embeddings into the Line/Plane. Piotr Indyk (MIT) With: Mihai Badoiu, Julia Chuzhoy, Kedar Dhamdhere, Anupam Gupta, Harald Raecke, Yuri Rabinovich, R. Ravi, Tasos Sidiropoulos. Low-Distortion Embeddings. Consider metrics (X,D X ) and (Y,D Y )

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410 views • 28 slides

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Distortion lower bound - PowerPoint PPT Presentation

Dimension Reduction in the L 1 norm

Approximation Algorithms for Low-Distortion Embeddings into the Line/Plane