30 search results - page 3 / 6 » ISOLLE: Locally Linear Embedding with Geodesic Distance |
AAAI
2010
13 years 7 months ago
2010
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
WACV
2012
IEEE
12 years 1 months ago
2012
IEEE
A convenient way of analysing Riemannian manifolds is to embed them in Euclidean spaces, with the embedding typically obtained by flattening the manifold via tangent spaces. This...
NIPS
1997
13 years 7 months ago
1997
Nonlinear dimensionality reduction is formulated here as the problem of trying to find a Euclidean feature-space embedding of a set of observations that preserves as closely as p...
JMIV
2006
13 years 6 months ago
2006
We present a novel representation of shape for closed contours in R2 or for compact surfaces in R3 explicitly designed to possess a linear structure. This greatly simplifies linear...
MOBIHOC
2005
ACM
14 years 5 months ago
2005
ACM
Location information is very useful in the design of sensor network infrastructures. In this paper, we study the anchor-free 2D localization problem by using local angle measureme...