Sciweavers

34 search results - page 5 / 7
» Embedding metric spaces in their intrinsic dimension
Sort
View
CVPR
2012
IEEE
11 years 8 months ago
Mode-seeking on graphs via random walks
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
Minsu Cho, Kyoung Mu Lee
FOCS
2006
IEEE
14 years 9 days ago
Algorithms on negatively curved spaces
d abstract] Robert Krauthgamer ∗ IBM Almaden James R. Lee † Institute for Advanced Study We initiate the study of approximate algorithms on negatively curved spaces. These spa...
Robert Krauthgamer, James R. Lee
DMIN
2009
142views Data Mining» more  DMIN 2009»
13 years 4 months ago
Efficient Record Linkage using a Double Embedding Scheme
Record linkage is the problem of identifying similar records across different data sources. The similarity between two records is defined based on domain-specific similarity functi...
Noha Adly
PAMI
2008
391views more  PAMI 2008»
13 years 6 months ago
Riemannian Manifold Learning
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
Tong Lin, Hongbin Zha
SCALESPACE
2005
Springer
13 years 11 months ago
Multiscale Active Contours
Abstract. In this paper, we propose an evolution equation for the active contours in scale spaces. This evolution equation is based on the Polyakov functional that has been first ...
Xavier Bresson, Pierre Vandergheynst, Jean-Philipp...