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» The new iris data: modular data generators
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CVPR
2007
IEEE
15 years 7 months ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu
VLDB
1998
ACM
101views Database» more  VLDB 1998»
15 years 4 months ago
On Optimal Node Splitting for R-trees
The problem of finding an optimal bipartition of a rectangle set has a direct impact on query performance of dynamic R-trees. During update operations, overflowed nodes need to be...
Yván J. García, Mario A. Lopez, Scot...
108
Voted
SPIESR
1993
125views Database» more  SPIESR 1993»
15 years 2 months ago
Self-Aligning and Compressed Autosophy Video Databases
Autosophy, an emerging new science, explains "Self-assembling Structures", such crystals or living trees, in mathematical terms. This research provides a new mathematica...
Klaus Holtz
PLDI
2011
ACM
14 years 3 months ago
Systematic editing: generating program transformations from an example
Software modifications are often systematic—they consist of similar, but not identical, program changes to multiple contexts. Existing tools for systematic program transformati...
Na Meng, Miryung Kim, Kathryn S. McKinley
114
Voted
SIGMOD
2000
ACM
129views Database» more  SIGMOD 2000»
15 years 5 months ago
Mining Frequent Patterns without Candidate Generation
Mining frequent patterns in transaction databases, time-series databases, and many other kinds of databases has been studied popularly in data mining research. Most of the previous...
Jiawei Han, Jian Pei, Yiwen Yin