46 search results - page 6 / 10 » Trust-Region Methods on Riemannian Manifolds |
TKDE
2011
13 years 2 months ago
2011
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
ECCV
2010
Springer
14 years 23 days ago
2010
Springer
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
ETVC
2008
13 years 9 months ago
2008
Intrinsic curvature flows can be used to design Riemannian metrics by prescribed curvatures. This chapter presents three discrete curvature flow methods that are recently introduce...
SIAMMA
2010
13 years 2 months ago
2010
In recent work nonlinear subdivision schemes which operate on manifold-valued data have been successfully analyzed with the aid of so-called proximity conditions bounding the diffe...
ISBI
2006
IEEE
14 years 8 months ago
2006
IEEE
Tensors are nowadays an increasing research domain in different areas, especially in image processing, motivated for example by DT-MRI (Diffusion Tensor Magnetic Resonance Imaging...