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» A Geometric Functional for Derivatives Approximation
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ICASSP
2008
IEEE
15 years 7 months ago
Query adaptative locality sensitive hashing
It is well known that high-dimensional nearest-neighbor retrieval is very expensive. Many signal processing methods suffer from this computing cost. Dramatic performance gains can...
Herve Jegou, Laurent Amsaleg, Cordelia Schmid, Pat...
100
Voted
CCCG
2008
15 years 2 months ago
Data Structures for Range-Aggregate Extent Queries
We consider a generalization of geometric range searching, with the goal of generating an informative "summary" of the objects contained in a query range via the applica...
Ravi Janardan, Prosenjit Gupta, Yokesh Kumar, Mich...
103
Voted
CGF
2008
118views more  CGF 2008»
15 years 25 days ago
Manifold-valued Thin-Plate Splines with Applications in Computer Graphics
We present a generalization of thin-plate splines for interpolation and approximation of manifold-valued data, and demonstrate its usefulness in computer graphics with several app...
Florian Steinke, Matthias Hein, Jan Peters, Bernha...
86
Voted
TVCG
2010
162views more  TVCG 2010»
14 years 11 months ago
Computing Robustness and Persistence for Images
—We are interested in 3-dimensional images given as arrays of voxels with intensity values. Extending these values to a continuous function, we study the robustness of homology c...
Paul Bendich, Herbert Edelsbrunner, Michael Kerber
89
Voted
IJCAI
1997
15 years 2 months ago
An Effective Learning Method for Max-Min Neural Networks
Max and min operations have interesting properties that facilitate the exchange of information between the symbolic and real-valued domains. As such, neural networks that employ m...
Loo-Nin Teow, Kia-Fock Loe