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Scalable Methods for Graph-Based Unsupervised and Semi-Supervised Learning

Scalable Methods for Graph-Based Unsupervised and Semi-Supervised Learning

Scalable Methods for Graph-Based Unsupervised and Semi-Supervised Learning. Frank Lin Language Technologies Institute School of Computer Science Carnegie Mellon University PhD Thesis Proposal October 8, 2010, Pittsburgh, PA, USA Thesis Committee

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1.22k views • 97 slides
A Very Fast Method for Clustering Big Text Datasets

A Very Fast Method for Clustering Big Text Datasets

A Very Fast Method for Clustering Big Text Datasets. Frank Lin and William W. Cohen School of Computer Science, Carnegie Mellon University ECAI 2010 2010-08-18, Lisbon, Portugal. Overview. Preview The Problem with Text Data Power Iteration Clustering (PIC) Spectral Clustering

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640 views • 53 slides
Optimizing the Performance of Sparse Matrix-Vector Multiplication

Optimizing the Performance of Sparse Matrix-Vector Multiplication

Optimizing the Performance of Sparse Matrix-Vector Multiplication. Eun-Jin Im U.C.Berkeley. Overview. Motivation Optimization techniques Register Blocking Cache Blocking Multiple Vectors Sparsity system Related Work Contribution Conclusion. Motivation : Usage.

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664 views • 38 slides
Optimizing the Performance of Sparse Matrix-Vector Multiplication

Optimizing the Performance of Sparse Matrix-Vector Multiplication

Optimizing the Performance of Sparse Matrix-Vector Multiplication. Eun-Jin Im U.C.Berkeley. Overview. Motivation Optimization techniques Register Blocking Cache Blocking Multiple Vectors Sparsity system Related Work Contribution Conclusion. Motivation : Usage.

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445 views • 38 slides

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