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CVPR
2005
IEEE
14 years 10 months ago
A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin
ISER
1997
Springer
142views Robotics» more  ISER 1997»
14 years 27 days ago
Adaptive Visual Servoing for Various Kinds of Robot Systems
Abstract: This paper propose an adaptive visual servoing method consisting of an on-line estimator of the robot/image Jacobian matrix and a feedback/feedforward controller for unca...
Koh Hosoda, Minoru Asada
TIP
2008
98views more  TIP 2008»
13 years 8 months ago
Image Interpolation by Adaptive 2-D Autoregressive Modeling and Soft-Decision Estimation
The challenge of image interpolation is to preserve spatial details. We propose a soft-decision interpolation technique that estimates missing pixels in groups rather than one at a...
Xiangjun Zhang, Xiaolin Wu
SLS
2009
Springer
243views Algorithms» more  SLS 2009»
14 years 3 months ago
Estimating Bounds on Expected Plateau Size in MAXSAT Problems
Stochastic local search algorithms can now successfully solve MAXSAT problems with thousands of variables or more. A key to this success is how effectively the search can navigate...
Andrew M. Sutton, Adele E. Howe, L. Darrell Whitle...
ICPR
2004
IEEE
14 years 9 months ago
Photometric Stereo Under Blurred Observations
In this paper we address the problem of simultaneous estimation of structure and restoration of images from blurred photometric measurements. Given the blurred observations of a s...
Manjunath V. Joshi, Subhasis Chaudhuri