Greg Hamerly

Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

Clustering Faster and Better with Projected Data.

[BibT_eX]

[DOI]

Alibek Zhakubayev

Proceedings of the ICISDM 2022: 2022 the 6th International Conference on Information System and Data Mining, Silicon Valley, CA, USA, May 27, 2022

2016

Geometric methods to accelerate <i>k</i>-means algorithms.

[BibT_eX]

[DOI]

Petr Rysavý

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

2014

Finding the smallest circle containing the iris in the denoised wavelet domain.

[BibT_eX]

[DOI]

Proceedings of the 2014 Southwest Symposium on Image Analysis and Interpretation, 2014

A Convolutional Neural Network approach for classifying leukocoria.

[BibT_eX]

[DOI]

Proceedings of the 2014 Southwest Symposium on Image Analysis and Interpretation, 2014

2010

Making k-means Even Faster.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2010

Efficient Model Selection for Large-Scale Nearest-Neighbor Data Mining.

[BibT_eX]

[DOI]

Greg Speegle

Proceedings of the Data Security and Security Data, 2010

2009

Hierarchical Stability-Based Model Selection for Clustering Algorithms.

[BibT_eX]

[DOI]

Bing Yin

Proceedings of the International Conference on Machine Learning and Applications, 2009

2007

Cross Binary Simulation Points.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE International Symposium on Performance Analysis of Systems and Software, 2007

2006

Using Machine Learning to Guide Architecture Simulation.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2006

PG-means: learning the number of clusters in data.

[BibT_eX]

[DOI]

Yu Feng

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Comparing multinomial and k-means clustering for SimPoint.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Symposium on Performance Analysis of Systems and Software, 2006

2005

SimPoint 3.0: Faster and More Flexible Program Phase Analysis.

[BibT_eX]

[DOI]

J. Instr. Level Parallelism, 2005

The Strong correlation Between Code Signatures and Performance.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2005

Motivation for Variable Length Intervals and Hierarchical Phase Behavior.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2005

2004

How to use SimPoint to pick simulation points.

[BibT_eX]

[DOI]

SIGMETRICS Perform. Evaluation Rev., 2004

2003

Discovering and Exploiting Program Phases.

[BibT_eX]

[DOI]

IEEE Micro, 2003

Using SimPoint for accurate and efficient simulation.

[BibT_eX]

[DOI]

Michael Van Biesbrouck

Timothy Sherwood

Proceedings of the International Conference on Measurements and Modeling of Computer Systems, 2003

Learning the k in k-means.

[BibT_eX]

[DOI]

Charles Elkan

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Picking Statistically Valid and Early Simulation Points.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Parallel Architectures and Compilation Techniques (PACT 2003), 27 September, 2003

2002

Alternatives to the k-means algorithm that find better clusterings.

[BibT_eX]

[DOI]

Charles Elkan

Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

Automatically characterizing large scale program behavior.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS-X), 2002

2001

Bayesian approaches to failure prediction for disk drives.

[BibT_eX]