671 search results - page 5 / 135 » Mean shift-based clustering |
DAGM
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. We present an improved framework for real-time segmentation and tracking by fusing depth and RGB color data. We are able to solve common problems seen in tracking and seg...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— We present an analytic and geometric view of the sample mean of graphs. The theoretical framework yields efficient subgradient methods for approximating a structural mean and ...
ICIC
2005
Springer
14 years 1 months ago
2005
Springer
This paper proposes two methods which take advantage of k -mean clustering algorithm to decrease the number of support vectors (SVs) for the training of support vector machine (SVM...
ICCV
2009
IEEE
15 years 20 days ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
FOCS
2010
IEEE
13 years 5 months ago
2010
IEEE
We consider k-median clustering in finite metric spaces and k-means clustering in Euclidean spaces, in the setting where k is part of the input (not a constant). For the k-means pr...