202 search results - page 29 / 41 » Privacy-preservation for gradient descent methods |
DAGM
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. Klassen et al. [9] recently developed a theoretical formulation to model shape dissimilarities by means of geodesics on appropriate spaces. They used the local geometry o...
CIMAGING
2008
15 years 1 months ago
2008
We present an algorithm to generate samples from probability distributions on the space of curves. Traditional curve evolution methods use gradient descent to find a local minimum...
NIPS
2008
15 years 29 days ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
SIAMSC
2008
14 years 11 months ago
2008
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape opti...
TIP
2008
14 years 11 months ago
2008
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...