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» Parameter Estimation Using Kalman Filters with Constraints
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PR
2010
156views more  PR 2010»
13 years 7 months ago
Semi-supervised clustering with metric learning: An adaptive kernel method
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zh...
CODES
2000
IEEE
14 years 28 days ago
Parameterized system design
Continued growth in chip capacity has led to new methodologies stressing reuse, not only of pre-designed processing components, but even of entire pre-designed architectures. To b...
Tony Givargis, Frank Vahid
ICASSP
2009
IEEE
14 years 3 months ago
Blind Monte Carlo detection-estimation method for optical coherence tomography
We consider the parametric analysis of frequency-domain optical coherence tomography (OCT) signals. A Monte Carlo (Gibbs sampler) detection-estimation method for determining the d...
Georg Kail, Clemens Novak, Bernd Hofer, Franz Hlaw...
ICCV
2005
IEEE
14 years 2 months ago
Patch Based Blind Image Super Resolution
In this paper, a novel method for learning based image super resolution (SR) is presented. The basic idea is to bridge the gap between a set of low resolution (LR) images and the ...
Qiang Wang, Xiaoou Tang, Harry Shum
ICPR
2008
IEEE
14 years 3 months ago
Camera calibration for uneven terrains by observing pedestrians
A calibrated camera is essential for computer vision systems. The prime reason being that such a camera acts as an angle measuring device. Once the camera is calibrated, applicati...
Imran N. Junejo