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KDD
2009
ACM
188views Data Mining» more  KDD 2009»
15 years 11 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
15 years 11 months ago
Adapting the right measures for K-means clustering
Clustering validation is a long standing challenge in the clustering literature. While many validation measures have been developed for evaluating the performance of clustering al...
Junjie Wu, Hui Xiong, Jian Chen
HPCA
2008
IEEE
15 years 11 months ago
Uncovering hidden loop level parallelism in sequential applications
As multicore systems become the dominant mainstream computing technology, one of the most difficult challenges the industry faces is the software. Applications with large amounts ...
Hongtao Zhong, Mojtaba Mehrara, Steven A. Lieberma...
HPCA
2007
IEEE
15 years 11 months ago
Improving Branch Prediction and Predicated Execution in Out-of-Order Processors
If-conversion is a compiler technique that reduces the misprediction penalties caused by hard-to-predict branches, transforming control dependencies into data dependencies. Althou...
Eduardo Quiñones, Joan-Manuel Parcerisa, An...
POPL
2005
ACM
15 years 11 months ago
Transition predicate abstraction and fair termination
on Predicate Abstraction and Fair Termination Andreas Podelski Andrey Rybalchenko Max-Planck-Institut f?ur Informatik Saarbr?ucken, Germany Predicate abstraction is the basis of m...
Andreas Podelski, Andrey Rybalchenko