25 search results - page 2 / 5 » Optimal outlier removal in high-dimensional |
GFKL
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
ICIP
2007
IEEE
13 years 11 months ago
2007
IEEE
This paper develops a classification algorithm in the framework of spectral graph theory where the underlying manifold of a high dimensional data set is described by a graph. The...
PAMI
2012
11 years 7 months ago
2012
Abstract—Given the size and confidence of pairwise local orderings, angular embedding (AE) finds a global ordering with a nearglobal optimal eigensolution. As a quadratic crite...
PAMI
2008
13 years 5 months ago
2008
A randomized model verification strategy for RANSAC is presented. The proposed method finds, like RANSAC, a solution that is optimal with user-specified probability. The solution i...
TVCG
2010
13 years 3 months ago
2010
—With the proliferation of motion capture data, interest in removing noise and outliers from motion capture data has increased. In this paper, we introduce an efficient human mo...