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ICASSP
2010
IEEE
14 years 9 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
ICDE
2000
IEEE
120views Database» more  ICDE 2000»
15 years 10 months ago
Deflating the Dimensionality Curse Using Multiple Fractal Dimensions
Nearest neighbor queries are important in many settings, including spatial databases (Find the k closest cities) and multimedia databases (Find the k most similar images). Previou...
Bernd-Uwe Pagel, Flip Korn, Christos Faloutsos
PODS
1997
ACM
182views Database» more  PODS 1997»
15 years 1 months ago
A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space
In this paper, we present a new cost model for nearest neighbor search in high-dimensional data space. We first analyze different nearest neighbor algorithms, present a generaliza...
Stefan Berchtold, Christian Böhm, Daniel A. K...
PAMI
1998
84views more  PAMI 1998»
14 years 9 months ago
Intrinsic Dimensionality Estimation With Optimally Topology Preserving Maps
A new method for analyzing the intrinsic dimensionality (ID) of low dimensional manifolds in high dimensional feature spaces is presented. The basic idea is to rst extract a low-d...
Jörg Bruske, Gerald Sommer
CVPR
2010
IEEE
14 years 9 months ago
Image atlas construction via intrinsic averaging on the manifold of images
In this paper, we propose a novel algorithm for computing an atlas from a collection of images. In the literature, atlases have almost always been computed as some types of means ...
Yuchen Xie, Jeffrey Ho, Baba C. Vemuri