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GRC
2008
IEEE
13 years 8 months ago
Neighborhood Smoothing Embedding for Noisy Manifold Learning
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Guisheng Chen, Junsong Yin, Deyi Li
ICDM
2005
IEEE
165views Data Mining» more  ICDM 2005»
14 years 1 months ago
Orthogonal Neighborhood Preserving Projections
— Orthogonal Neighborhood Preserving Projections (ONPP) is a linear dimensionality reduction technique which attempts to preserve both the intrinsic neighborhood geometry of the ...
Effrosini Kokiopoulou, Yousef Saad
EL
2011
86views more  EL 2011»
12 years 7 months ago
The use of metadata and preservation methods for continuous access to digital data
Data loss prevention starts with the creation of a digital object. However, methods to minimize the loss of digital data are often ignored, the use of metadata structures embedded...
Ria Groenewald, Amelia Breytenbach
ICCV
2003
IEEE
14 years 9 months ago
Learning a Locality Preserving Subspace for Visual Recognition
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...
Xiaofei He, Shuicheng Yan, Yuxiao Hu, HongJiang Zh...
EDBT
2008
ACM
112views Database» more  EDBT 2008»
14 years 7 months ago
Ownership protection of shape datasets with geodesic distance preservation
Protection of one's intellectual property is a topic with important technological and legal facets. The significance of this issue is amplified nowadays due to the ease of da...
Michail Vlachos, Claudio Lucchese, Deepak Rajan, P...