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» Optimizing Feature Sets for Structured Data
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CVPR
2007
IEEE
15 years 12 months ago
Compositional Boosting for Computing Hierarchical Image Structures
In this paper, we present a compositional boosting algorithm for detecting and recognizing 17 common image structures in low-middle level vision tasks. These structures, called &q...
Tianfu Wu, Gui-Song Xia, Song Chun Zhu
DOLAP
1999
ACM
15 years 2 months ago
Design and Selection of Materialized Views in a Data Warehousing Environment: A Case Study
In this paper, we describe the design of a data warehousing system for an engineering company ‘R’. This system aims to assist users in retrieving data for business analysis in...
Goretti K. Y. Chan, Qing Li, Ling Feng
ICANN
2010
Springer
14 years 10 months ago
Computational Properties of Probabilistic Neural Networks
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
Jiri Grim, Jan Hora
PLDI
2006
ACM
15 years 3 months ago
Optimizing memory transactions
Atomic blocks allow programmers to delimit sections of code as ‘atomic’, leaving the language’s implementation to enforce atomicity. Existing work has shown how to implement...
Timothy L. Harris, Mark Plesko, Avraham Shinnar, D...
ICDE
2001
IEEE
128views Database» more  ICDE 2001»
15 years 11 months ago
Counting Twig Matches in a Tree
We describe efficient algorithms for accurately estimating the number of matches of a small node-labeled tree, i.e., a twig, in a large node-labeled tree, using a summary data str...
Zhiyuan Chen, H. V. Jagadish, Flip Korn, Nick Koud...