35 search results - page 2 / 7 » Unsupervised Learning of Image Manifolds by Semidefinite Pro... |
ICIP
2007
IEEE
13 years 9 months ago
2007
IEEE
This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
ICPR
2010
IEEE
13 years 5 months ago
2010
IEEE
—This paper presents a method to find salient image points in images with regular patterns based on deviations from the overall manifold structure. The two main contributions ar...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
We propose a new method to retrieve similar face images from large face databases. The proposed method extracts a set of Haar-like features, and integrates these features with sup...
PAMI
2006
13 years 5 months ago
2006
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...