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» Adaptive Sampling for Noisy Problems
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ICIP
2003
IEEE
14 years 9 months ago
Parametric contour estimation by simulated annealing
Virtually all implementations of simulated annealing are simplified by assuming discrete unknowns, however continuous-parameter annealing has many potential applications to image ...
Michael Jamieson, Paul W. Fieguth, Leo J. Lee
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
14 years 1 months ago
Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression
We present two new support vector approaches for ordinal regression. These approaches find the concentric spheres with minimum volume that contain most of the training samples. B...
Shirish Krishnaj Shevade, Wei Chu
IROS
2008
IEEE
180views Robotics» more  IROS 2008»
14 years 1 months ago
Aligning point cloud views using persistent feature histograms
— In this paper we investigate the usage of persistent point feature histograms for the problem of aligning point cloud data views into a consistent global model. Given a collect...
Radu Bogdan Rusu, Nico Blodow, Zoltan Csaba Marton...
CORR
2008
Springer
127views Education» more  CORR 2008»
13 years 6 months ago
Flexible Time-Triggered Sampling in Smart Sensor-Based Wireless Control Systems
: Wireless control systems (WCSs) often have to operate in dynamic environments where the network traffic load may vary unpredictably over time. The sampling in sensors is conventi...
Feng Xia, Wenhong Zhao
EMMCVPR
1999
Springer
13 years 11 months ago
Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach
Abstract. We propose a vector representation approach to contour estimation from noisy data. Images are modeled as random elds composed of a set of homogeneous regions contours (bo...
José M. B. Dias