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» Local Dimensionality Reduction
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ICPR
2008
IEEE
15 years 4 months ago
Ridge Regression for Two Dimensional Locality Preserving Projection
Two Dimensional Locality Preserving Projection (2DLPP) is a recent extension of LPP, a popular face recognition algorithm. It has been shown that 2D-LPP performs better than PCA, ...
Nam Thanh Nguyen, Wanquan Liu, Svetha Venkatesh
ICDE
2008
IEEE
158views Database» more  ICDE 2008»
15 years 11 months ago
CARE: Finding Local Linear Correlations in High Dimensional Data
Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...
Xiang Zhang, Feng Pan, Wei Wang
CSDA
2006
138views more  CSDA 2006»
14 years 9 months ago
Automatic dimensionality selection from the scree plot via the use of profile likelihood
Most dimension reduction techniques produce ordered coordinates so that only the first few coordinates need be considered in subsequent analyses. The choice of how many coordinate...
Mu Zhu, Ali Ghodsi
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 3 months ago
Enhancing differential evolution performance with local search for high dimensional function optimization
In this paper, we proposed Fittest Individual Refinement (FIR), a crossover based local search method for Differential Evolution (DE). The FIR scheme accelerates DE by enhancing...
Nasimul Noman, Hitoshi Iba
INFOCOM
2010
IEEE
14 years 7 months ago
Optimal Solutions for Single Fault Localization in Two Dimensional Lattice Networks
Abstract--Achieving fast, precise, and scalable fault localization has long been a highly desired feature in all-optical mesh networks. Monitoring tree (m-tree) is an interesting m...
János Tapolcai, Lajos Rónyai, Pin-Ha...