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» An Algorithm for Intrinsic Dimensionality Estimation
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SDM
2009
SIAM
184views Data Mining» more  SDM 2009»
15 years 8 months ago
DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
Emmanuel Müller, Ira Assent, Ralph Krieger, S...
ICPR
2010
IEEE
15 years 2 months ago
Entropy Estimation and Multi-Dimensional Scale Saliency
In this paper we survey two multi-dimensional Scale Saliency approaches based on graphs and the k-d partition algorithm. In the latter case we introduce a new divergence metric an...
Pablo Suau, Francisco Escolano
SAC
2005
ACM
15 years 5 months ago
Estimating manifold dimension by inversion error
Video and image datasets can often be described by a small number of parameters, even though each image usually consists of hundreds or thousands of pixels. This observation is of...
Shawn Martin, Alex Bäcker
CVIU
2007
120views more  CVIU 2007»
14 years 11 months ago
A comparison of Gaussian and mean curvature estimation methods on triangular meshes of range image data
Estimating intrinsic geometric properties of a surface from a polygonal mesh obtained from range data is an important stage of numerous algorithms in computer and robot vision, co...
Evgeni Magid, Octavian Soldea, Ehud Rivlin
DAGM
2006
Springer
15 years 3 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