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» An Adaptive Supersampling Method
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ICPR
2008
IEEE
16 years 2 months ago
Orientation and scale invariant mean shift using object mask-based kernel
In this paper, we propose a new method for object tracking based on mean shift algorithm using a kernel which has the shape of the target object, and with probabilistic estimation...
Kwang Moo Yi, Ho Seok Ahn, Jin Young Choi
MIMI
2007
Springer
16 years 1 months ago
Spiral MRI Reconstruction Using Least Square Quantization Table
Recently, the authors introduced least square quantization table (LSQT) method to accelerate the direct Fourier transform to reconstruct magnetic resonance images acquired using a ...
Dong Liang, Edmund Y. Lam, George S. K. Fung, Xin ...
GMP
2000
IEEE
148views Solid Modeling» more  GMP 2000»
15 years 12 months ago
Polyhedral Surface Smoothing with Simultaneous Mesh Regularization
A computer graphics object reconstructed from real-world data often contains undesirable noise and small-scale oscillations. An important problem is how to remove the noise and os...
Yutaka Ohtake, Alexander G. Belyaev, Ilia A. Bogae...
MOC
2002
128views more  MOC 2002»
15 years 7 months ago
Each averaging technique yields reliable a posteriori error control in FEM on unstructured grids. Part II: Higher order FEM
Averaging techniques are popular tools in adaptive finite element methods since they provide efficient a posteriori error estimates by a simple postprocessing. In the second paper ...
Sören Bartels, Carsten Carstensen
ICDM
2009
IEEE
169views Data Mining» more  ICDM 2009»
15 years 5 months ago
Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification
There are many clustering tasks which are closely related in the real world, e.g. clustering the web pages of different universities. However, existing clustering approaches neglec...
Quanquan Gu, Jie Zhou