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» GMRES Methods for Least Squares Problems
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CVPR
2012
IEEE
11 years 8 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...
PAMI
2012
11 years 8 months ago
A Least-Squares Framework for Component Analysis
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
Fernando De la Torre
CSC
2008
13 years 7 months ago
An Algorithm for Solving Scaled Total Least Squares Problems
Abstract - In this paper, we present a rankrevealing two-sided orthogonal decomposition method for solving the STLS problem. An error analysis of the algorithm is given. Our numeri...
Sanzheng Qiao, Wei Xu, Yimin Wei
CORR
2008
Springer
216views Education» more  CORR 2008»
13 years 5 months ago
Building an interpretable fuzzy rule base from data using Orthogonal Least Squares Application to a depollution problem
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
Sébastien Destercke, Serge Guillaume, Brigi...
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
14 years 3 days ago
Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikon...