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» Maximal Vector Computation in Large Data Sets
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DAC
1996
ACM
14 years 1 months ago
Improving the Efficiency of Power Simulators by Input Vector Compaction
Accurate power estimation is essential for low power digital CMOS circuit design. Power dissipation is input pattern dependent. To obtain an accurate power estimate, a large input...
Chi-Ying Tsui, Radu Marculescu, Diana Marculescu, ...
JMLR
2008
84views more  JMLR 2008»
13 years 9 months ago
LIBLINEAR: A Library for Large Linear Classification
LIBLINEAR is an open source library for large-scale linear classification. It supports logistic regression and linear support vector machines. We provide easy-to-use command-line ...
Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-R...
ICDM
2003
IEEE
99views Data Mining» more  ICDM 2003»
14 years 2 months ago
Scalable Model-based Clustering by Working on Data Summaries
The scalability problem in data mining involves the development of methods for handling large databases with limited computational resources. In this paper, we present a two-phase...
Huidong Jin, Man Leung Wong, Kwong-Sak Leung
PPOPP
2010
ACM
14 years 6 months ago
A distributed placement service for graph-structured and tree-structured data
Effective data placement strategies can enhance the performance of data-intensive applications implemented on high end computing clusters. Such strategies can have a significant i...
Gregory Buehrer, Srinivasan Parthasarathy, Shirish...
3DPVT
2006
IEEE
224views Visualization» more  3DPVT 2006»
14 years 3 months ago
A Bayesian Approach to Building Footprint Extraction from Aerial LIDAR Data
Building footprints have been shown to be extremely useful in urban planning, infrastructure development, and roof modeling. Current methods for creating these footprints are ofte...
Oliver Wang, Suresh K. Lodha, David P. Helmbold