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» Least squares estimation of nonlinear spatial trends
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CVPR
2008
IEEE
14 years 7 months ago
Least squares congealing for unsupervised alignment of images
In this paper, we present an approach we refer to as "least squares congealing" which provides a solution to the problem of aligning an ensemble of images in an unsuperv...
Mark Cox, Sridha Sridharan, Simon Lucey, Jeffrey F...
ICASSP
2009
IEEE
14 years 16 days ago
Analyzing Least Squares and Kalman Filtered Compressed Sensing
In recent work, we studied the problem of causally reconstructing time sequences of spatially sparse signals, with unknown and slow time-varying sparsity patterns, from a limited ...
Namrata Vaswani
CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
13 years 9 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
ICASSP
2011
IEEE
12 years 9 months ago
Analytical performance assessment of 1-D Structured Least Squares
— In this paper, we derive the analytical performance of 1-D standard ESPRIT and 1-D Unitary ESPRIT using one iteration of Structured Least Squares to solve the shift invariance ...
Florian Roemer, Martin Haardt
SCIA
2007
Springer
108views Image Analysis» more  SCIA 2007»
13 years 12 months ago
Single View Motion Tracking by Depth and Silhouette Information
In this work1 a combination of depth and silhouette information is presented to track the motion of a human from a single view. Depth data is acquired from a Photonic Mixer Device ...
Daniel Grest, Volker Krüger, Reinhard Koch