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197
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SIAMMAX
2010
15 years 1 months ago
2010
Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...
208
Voted
MSWIM
2005
ACM
16 years 12 days ago
2005
ACM
An analytical model is proposed to describe the priority schemes of the EDCA mechanism of the IEEE 802.11e standard. EDCA provides class-based differentiated QoS to IEEE 802.11 WL...
171
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OOPSLA
2005
Springer
16 years 10 days ago
2005
Springer
Micro patterns are similar to design patterns, except that micro patterns stand at a lower, closer to the implementation, level of abstraction. Micro patterns are also unique in t...
219
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ICCV
2005
IEEE
16 years 8 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
183
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ECCV
2004
Springer
16 years 8 months ago
2004
Springer
A linear, discriminative, supervised technique for reducing feature vectors extracted from image data to a lower-dimensional representation is proposed. It is derived from classica...