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IJCNN
2008
IEEE
16 years 24 days ago
Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
Sheng Chen, Xia Hong, Chris J. Harris
EMMCVPR
2009
Springer
16 years 29 days ago
Locally Parallel Textures Modeling with Adapted Hilbert Spaces
This article 3 presents a new adaptive texture model. Locally parallel oscillating patterns are modeled with a weighted Hilbert space defined over local Fourier coefficients. The ...
Pierre Maurel, Jean-François Aujol, Gabriel...
ASPDAC
1999
ACM
149views Hardware» more  ASPDAC 1999»
15 years 10 months ago
The Hierarchical h-Adaptive 3-D Boundary Element Computation of VLSI Interconnect Capacitance
: In VLSI circuits with deep sub-micron, the parasitic capacitance from interconnect is a very important factor determining circuit performances such as power and time-delay. The B...
Jinsong Hou, Zeyi Wang, Xianlong Hong
ICCVW
1999
Springer
15 years 10 months ago
Bundle Adjustment - A Modern Synthesis
This paper is a survey of the theory and methods of photogrammetric bundle adjustment, aimed at potential implementors in the computer vision community. Bundle adjustment is the p...
Bill Triggs, Philip F. McLauchlan, Richard I. Hart...
ICASSP
2010
IEEE
15 years 6 months ago
A non-iterative estimator for the concentration parameter of the relative phase distribution
In this paper, we propose an approximation of the relative phase probability function (RP pdf) and use it to find a non-iterative estimator for the concentration parameter of the...
Yothin Rakvongthai, Soontorn Oraintara