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SIAMMA
2010
63views more  SIAMMA 2010»
13 years 3 months ago
Sparse Tensor Product Wavelet Approximation of Singular Functions
Abstract. On product domains, sparse-grid approximation yields optimal, dimension-independent convergence rates when the function that is approximated has L2-bounded mixed derivati...
Monique Dauge, Rob Stevenson
CVPR
2004
IEEE
14 years 10 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
SODA
2008
ACM
128views Algorithms» more  SODA 2008»
13 years 10 months ago
Analysis of greedy approximations with nonsubmodular potential functions
In this paper, we present two techniques to analyze greedy approximation with nonsubmodular functions restricted submodularity and shifted submodularity. As an application of the ...
Ding-Zhu Du, Ronald L. Graham, Panos M. Pardalos, ...
DAGM
2004
Springer
14 years 17 days ago
Accurate and Efficient Approximation of the Continuous Gaussian Scale-Space
Abstract. The Gaussian scale-space is a standard tool in image analysis. While continuous in theory, it is generally realized with fixed regular grids in practice. This prevents th...
Ullrich Köthe
SODA
1997
ACM
111views Algorithms» more  SODA 1997»
13 years 10 months ago
Approximation Schemes for Scheduling
We discuss scheduling problems with m identical machines and n jobs where each job has to be assigned to some machine. The goal is to optimize objective functions that solely depe...
Noga Alon, Yossi Azar, Gerhard J. Woeginger, Tal Y...