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SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
16 years 6 months ago
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neig
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
Charu C. Aggarwal
TCSV
2008
130views more  TCSV 2008»
15 years 6 months ago
Aliasing Reduction via Frequency Roll-Off for Scalable Image/Video Coding
The extracted low resolution video from a motion compensated 3-D subband/wavelet scalable video coder is unnecessarily sharp and sometimes contains significant aliasing, compared ...
Yongjun Wu, John W. Woods
ICDCS
1999
IEEE
15 years 10 months ago
Search Space Reduction in QoS Routing
To provide real-time service or engineer constrained-based paths, networks require the underlying routing algorithm to be able to find low-cost paths that satisfy given Quality-of...
Liang Guo, Ibrahim Matta
BMCBI
2011
14 years 10 months ago
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
Raphael Mourad, Christine Sinoquet, Philippe Leray
UM
2009
Springer
16 years 25 days ago
PerspectiveSpace: Opinion Modeling with Dimensionality Reduction
Abstract. Words mean different things to different people, and capturing these differences is often a subtle art. These differences are often “a matter of perspective,” and...
Jason B. Alonso, Catherine Havasi, Henry Lieberman