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PAMI
2002
102views more  PAMI 2002»
14 years 9 months ago
Estimating the Fundamental Matrix via Constrained Least-Squares: A Convex Approach
Graziano Chesi, Andrea Garulli, Antonio Vicino, Ro...
TIT
2002
89views more  TIT 2002»
14 years 9 months ago
Universal linear least squares prediction: Upper and lower bounds
We consider the problem of sequential linear prediction of real-valued sequences under the square-error loss function. For this problem, a prediction algorithm has been demonstrate...
Andrew C. Singer, Suleyman Serdar Kozat, Meir Fede...
CVPR
2012
IEEE
12 years 12 months ago
On partial least squares in head pose estimation: How to simultaneously deal with misalignment
Head pose estimation is a critical problem in many computer vision applications. These include human computer interaction, video surveillance, face and expression recognition. In ...
Murad Al Haj, Jordi Gonzàlez, Larry S. Davi...
IWANN
2005
Springer
15 years 3 months ago
Load Forecasting Using Fixed-Size Least Squares Support Vector Machines
Based on the Nystr¨om approximation and the primal-dual formulation of Least Squares Support Vector Machines (LS-SVM), it becomes possible to apply a nonlinear model to a large sc...
Marcelo Espinoza, Johan A. K. Suykens, Bart De Moo...
MOC
1998
67views more  MOC 1998»
14 years 9 months ago
A negative-norm least squares method for Reissner-Mindlin plates
In this paper a least squares method, using the minus one norm developed by Bramble, Lazarov, and Pasciak, is introduced to approximate the solution of the Reissner-Mindlin plate p...
James H. Bramble, Tong Sun