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» Set cover algorithms for very large datasets
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ICIP
2007
IEEE
16 years 7 months ago
Common Spatial Pattern Discovery by Efficient Candidate Pruning
Automatically discovering common visual patterns in images is very challenging due to the uncertainties in the visual appearances of such spatial patterns and the enormous computa...
Junsong Yuan, Zhu Li, Yun Fu, Ying Wu, Thomas S. H...
AAAI
2006
15 years 7 months ago
Minimum Description Length Principle: Generators Are Preferable to Closed Patterns
The generators and the unique closed pattern of an equivalence class of itemsets share a common set of transactions. The generators are the minimal ones among the equivalent items...
Jinyan Li, Haiquan Li, Limsoon Wong, Jian Pei, Guo...
IV
1999
IEEE
91views Visualization» more  IV 1999»
15 years 10 months ago
Triangle Mesh Compression for Fast Rendering
Modern GIS(Geographic Information System) application programs and simulation systems have to handle large datasets for rendering. Currently three dimensional rendering hardware a...
Dong-Gyu Park, Yang-Soo Kim, Hwan-Gue Cho
HIPC
1999
Springer
15 years 10 months ago
High Performance Data Mining
Abstract. Recent times have seen an explosive growth in the availability of various kinds of data. It has resulted in an unprecedented opportunity to develop automated data-driven ...
Vipin Kumar, Jaideep Srivastava
ICMLA
2009
15 years 3 months ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara