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DAGM
2006
Springer
14 years 2 months ago
Parameterless Isomap with Adaptive Neighborhood Selection
Abstract. Isomap is a highly popular manifold learning and dimensionality reduction technique that effectively performs multidimensional scaling on estimates of geodesic distances....
Nathan Mekuz, John K. Tsotsos
SCALESPACE
1997
Springer
14 years 2 months ago
Scale Space Analysis by Stabilized Inverse Diffusion Equations
Abstract. We introduce a family of first-order multi-dimensional ordinary differential equations (ODEs) with discontinuous right-hand sides and demonstrate their applicability in i...
Ilya Pollak, Alan S. Willsky, Hamid Krim
MVA
2007
110views Computer Vision» more  MVA 2007»
14 years 11 days ago
Improving Accuracy of 3-D Reconstruction by Classifying Correspondences
In this paper, we show that we can improve accuracies of 3-D reconstructions with uncalibrated stereo by classifying correspondences between two images. After obtaining initial co...
Yusuke Takanashi, Yohei Shibata, Yasushi Kanazawa
ICDE
2007
IEEE
192views Database» more  ICDE 2007»
15 years 9 days ago
APLA: Indexing Arbitrary Probability Distributions
The ability to store and query uncertain information is of great benefit to databases that infer values from a set of observations, including databases of moving objects, sensor r...
Vebjorn Ljosa, Ambuj K. Singh
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
14 years 11 months ago
On interactive visualization of high-dimensional data using the hyperbolic plane
: se the concept of visualizing general abstract data by intermediate projection into the hyperbolic space. Its favorable properties were reported earlier and led to the "hype...
Helge Ritter, Jörg A. Walter