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» Learning Minimum Volume Sets
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ICPR
2008
IEEE
16 years 28 days ago
Fast and regularized local metric for query-based operations
To learn a metric for query?based operations, we combine the concept underlying manifold learning algorithms and the minimum volume ellipsoid metric in a unified algorithm to find...
Frank P. Ferrie, Karim T. Abou-Moustafa
SAC
2002
ACM
14 years 11 months ago
Location adjustment for the minimum volume ellipsoid estimator
Estimating multivariate location and scatter with both affine equivariance and positive breakdown has always been difficult. A well-known estimator which satisfies both properties...
Christophe Croux, Gentiane Haesbroeck, Peter J. Ro...
CCCG
1998
15 years 1 months ago
Quantile approximation for robust statistical estimation
Given a set P of n points in Rd, a fundamental problem in computational geometry is concerned with finding the smallest shape of some type that encloses all the points of P. Well-...
David M. Mount, Nathan S. Netanyahu, Christine D. ...
EGPGV
2004
Springer
181views Visualization» more  EGPGV 2004»
15 years 5 months ago
Parallel Multiresolution Volume Rendering of Large Data Sets with Error-Guided Load Balancing
We present a new parallel multiresolution volume rendering algorithm for visualizing large data sets. Using the wavelet transform, the raw data is first converted into a multires...
Chaoli Wang, Jinzhu Gao, Han-Wei Shen
ACCV
2010
Springer
14 years 6 months ago
Image-Based 3D Modeling via Cheeger Sets
We propose a novel variational formulation for generating 3D models of objects from a single view. Based on a few user scribbles in an image, the algorithm automatically extracts t...
Eno Töppe, Martin R. Oswald, Daniel Cremers, ...