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94
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DAGM
2006
Springer
15 years 4 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
94
Voted
SCALESPACE
1997
Springer
15 years 4 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
79
Voted
MVA
2007
110views Computer Vision» more  MVA 2007»
15 years 2 months 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»
16 years 2 months 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»
16 years 1 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