579 search results - page 8 / 116 » Learning an image manifold for retrieval |
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Can we detect low dimensional structure in high dimensional data sets of images? In this paper, we propose an algorithm for unsupervised learning of image manifolds by semidefinit...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
BMVC
2010
13 years 5 months ago
2010
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
PAMI
2008
13 years 7 months ago
2008
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
ICISP
2010
Springer
13 years 9 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