102 search results - page 2 / 21 » Image distance functions for manifold learning |
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Scientists find that the human perception is based on the similarity on the manifold of data set. Isometric feature mapping (Isomap) is one of the representative techniques of man...
ICISP
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. When the amount of color data is reduced in a lossy compression scheme, the question of the use of a color distance is crucial, since no total order exists in IRn
VLSISP
2010
13 years 5 months ago
2010
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
SDM
2007
SIAM
13 years 8 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
JMLR
2010
13 years 1 months ago
2010
We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...