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153
Voted
TNN
2008
15 years 3 months ago
2008
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
148
Voted
CHI
2011
ACM
14 years 7 months ago
2011
ACM
A user task often spans multiple heterogeneous devices, e.g., working on a PC in the office and continuing the work on a laptop or a mobile phone while commuting on a shuttle. How...
138
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CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
103
Voted
HICSS
2006
IEEE
15 years 9 months ago
2006
IEEE
Inexpensive data collection and storage technologies and a global thirst for information have led to data repositories so large that users may become disoriented and unable to loc...
128
Voted
WMCSA
2003
IEEE
15 years 8 months ago
2003
IEEE
Both the research community and developers in industry have identified the need for a clearly defined vocabulary and programming framework for location technologies. A layered Loc...