894 search results - page 8 / 179 » Learning to cluster using local neighborhood structure |
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
Graph based semi-supervised learning methods (SSL) implicitly assume that the intrinsic geometry of the data points can be fully specified by an Euclidean distance based local ne...
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CORR
2006
Springer
14 years 9 months ago
2006
Springer
Given a sample from a probability measure with support on a submanifold in Euclidean space one can construct a neighborhood graph which can be seen as an approximation of the subm...
IJCV
2000
14 years 9 months ago
2000
The appearance of an object is composed of local structure. This local structure can be described and characterized by a vector of local features measured by local operators such a...
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
ICDM
2005
IEEE
15 years 3 months ago
2005
IEEE
— Orthogonal Neighborhood Preserving Projections (ONPP) is a linear dimensionality reduction technique which attempts to preserve both the intrinsic neighborhood geometry of the ...