468 search results - page 16 / 94 » Riemannian Manifold Learning |
NIPS
2004
13 years 9 months ago
2004
We claim and present arguments to the effect that a large class of manifold learning algorithms that are essentially local and can be framed as kernel learning algorithms will suf...
CVPR
2009
IEEE
14 years 2 months ago
2009
IEEE
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...
COLT
2005
Springer
14 years 1 months ago
2005
Springer
In recent years manifold methods have attracted a considerable amount of attention in machine learning. However most algorithms in that class may be termed “manifold-motivatedâ€...
CVBIA
2005
Springer
14 years 1 months ago
2005
Springer
Cardiopulmonary imaging is a key tool in modern diagnostic and interventional medicine. Automated analysis of MRI or ultrasound video is complicated by limitations on the image qua...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
es of circulant matrices. Our class is broader than just circulants, and we study patterned systems using abstract algebra, specifically the observation that a set of matrices with...