Greg Hamerly

发表

How to use SimPoint to pick simulation points

Brad Calder, Greg Hamerly, Erez Perelman, 2004, PERV.

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

Greg Hamerly, Greg Speegle, Greg Hamerly, 2010, BNCOD.

Geometric methods to accelerate k-means algorithms

Greg Hamerly, Petr Rysavý, 2016, SDM.

Thesis proposal: High-quality automatic data clustering

Greg Hamerly, 2002 .

Hierarchical Stability-Based Model Selection for Clustering Algorithms

Greg Hamerly, Bing Yin, Greg Hamerly, 2009, 2009 International Conference on Machine Learning and Applications.

Picking statistically valid and early simulation points

Brad Calder, Greg Hamerly, Erez Perelman, 2003, 2003 12th International Conference on Parallel Architectures and Compilation Techniques.

Making k-means Even Faster

Greg Hamerly, Greg Hamerly, 2010, SDM.

Colorimetric Image Analysis in Detection of Leukocoria from Retinoblastoma in Snapshots Taken by Standard Digital Photography

Greg Hamerly, Erich J. Baker, Alex Kentsis, 2013 .

SimPoint 3.0: Faster and More Flexible Program Phase Analysis

Brad Calder, Greg Hamerly, Erez Perelman, 2005, J. Instr. Level Parallelism.

Discovering and Exploiting Program Phases

Brad Calder, Greg Hamerly, Erez Perelman, 2003, IEEE Micro.

Learning the k in k-means

Greg Hamerly, Charles Elkan, C. Elkan, 2003, NIPS.

Automatically characterizing large scale program behavior

Brad Calder, Greg Hamerly, Erez Perelman, 2002, ASPLOS X.

Comparison of ad hoc network routing protocols

Greg Hamerly, Jesse Zhixi Fang, John M. Bellardo, 1999 .

PG-means: learning the number of clusters in data

Greg Hamerly, Yu Feng, Greg Hamerly, 2006, NIPS.

Using SimPoint for accurate and efficient simulation

Brad Calder, Greg Hamerly, Erez Perelman, 2003, SIGMETRICS '03.

Alternatives to the k-means algorithm that find better clusterings

Greg Hamerly, Charles Elkan, 2002, CIKM '02.

Bayesian approaches to failure prediction for disk drives

Greg Hamerly, Charles Elkan, C. Elkan, 2001, ICML.

A Convolutional Neural Network approach for classifying leukocoria

Greg Hamerly, Pablo Rivas-Perea, Ryan Henning, 2014, 2014 Southwest Symposium on Image Analysis and Interpretation.

Cross Binary Simulation Points

Aamer Jaleel, Brad Calder, Greg Hamerly, 2007, 2007 IEEE International Symposium on Performance Analysis of Systems & Software.

Using Machine Learning to Guide Architecture Simulation

Brad Calder, Greg Hamerly, Erez Perelman, 2006, J. Mach. Learn. Res..

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

Greg Hamerly, Pablo Rivas-Perea, Ryan Henning, 2014, 2014 Southwest Symposium on Image Analysis and Interpretation.

The Strong correlation Between Code Signatures and Performance

Brad Calder, Greg Hamerly, Erez Perelman, 2005, IEEE International Symposium on Performance Analysis of Systems and Software, 2005. ISPASS 2005..

Accelerating Lloyd’s Algorithm for k -Means Clustering

Greg Hamerly, Jonathan Drake, Greg Hamerly, 2015 .

SimPoint: Picking Representative Samples to Guide Simulation

Brad Calder, Greg Hamerly, Erez Perelman, 2005 .

Representative Sampling Using SimPoint

Brad Calder, Greg Hamerly, Erez Perelman, 2010 .

Comparing multinomial and k-means clustering for SimPoint

Brad Calder, Greg Hamerly, Erez Perelman, 2006, 2006 IEEE International Symposium on Performance Analysis of Systems and Software.

Motivation for Variable Length Intervals and Hierarchical Phase Behavior

Brad Calder, Greg Hamerly, Erez Perelman, 2005, IEEE International Symposium on Performance Analysis of Systems and Software, 2005. ISPASS 2005..

Learning the � in �-means

Greg Hamerly, Charles Elkan, .

Improving SimPoint accuracy for small simulation budgets with EDCM clustering

Greg Hamerly, Joshua Johnston, 2008 .