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» On Nearest-Neighbor Graphs
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SDM
2007
SIAM
126views Data Mining» more  SDM 2007»
13 years 6 months ago
Nonlinear Dimensionality Reduction using Approximate Nearest Neighbors
Nonlinear dimensionality reduction methods often rely on the nearest-neighbors graph to extract low-dimensional embeddings that reliably capture the underlying structure of high-d...
Erion Plaku, Lydia E. Kavraki
ADBIS
2007
Springer
117views Database» more  ADBIS 2007»
13 years 10 months ago
Improving the Performance of M-Tree Family by Nearest-Neighbor Graphs
The M-tree and its variants have been proved to provide an efficient similarity search in database environments. In order to further improve their performance, in this paper we pro...
Tomás Skopal, David Hoksza
CORR
2007
Springer
87views Education» more  CORR 2007»
13 years 4 months ago
Detection of Gauss-Markov Random Fields with Nearest-Neighbor Dependency
Abstract—The problem of hypothesis testing against independence for a Gauss–Markov random field (GMRF) is analyzed. Assuming an acyclic dependency graph, an expression for the...
Animashree Anandkumar, Lang Tong, Ananthram Swami
ALT
2007
Springer
13 years 8 months ago
Cluster Identification in Nearest-Neighbor Graphs
Abstract. Assume we are given a sample of points from some underlying distribution which contains several distinct clusters. Our goal is to construct a neighborhood graph on the sa...
Markus Maier, Matthias Hein, Ulrike von Luxburg
ICASSP
2010
IEEE
13 years 4 months ago
Optimized intrinsic dimension estimator using nearest neighbor graphs
We develop an approach to intrinsic dimension estimation based on k-nearest neighbor (kNN) distances. The dimension estimator is derived using a general theory on functionals of k...
Kumar Sricharan, Raviv Raich, Alfred O. Hero III