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» An FPGA Implementation for Solving Least Square Problem
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FCCM
2009
IEEE
316views VLSI» more  FCCM 2009»
13 years 8 months ago
An FPGA Implementation for Solving Least Square Problem
This paper proposes a high performance least square solver on FPGAs using the Cholesky decomposition method. Our design can be realized by iteratively adopting a single triangular...
Depeng Yang, Gregory D. Peterson, Husheng Li, Junq...
ICML
2009
IEEE
14 years 5 months ago
A least squares formulation for a class of generalized eigenvalue problems in machine learning
Many machine learning algorithms can be formulated as a generalized eigenvalue problem. One major limitation of such formulation is that the generalized eigenvalue problem is comp...
Liang Sun, Shuiwang Ji, Jieping Ye
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
13 years 11 months 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...
TWC
2008
158views more  TWC 2008»
13 years 4 months ago
Solving Box-Constrained Integer Least Squares Problems
A box-constrained integer least squares problem (BILS) arises from several wireless communications applications. Solving a BILS problem usually has two stages: reduction (or prepro...
Xiao-Wen Chang, Qing Han
TAPIA
2005
ACM
13 years 10 months ago
On a global optimization technique for solving a nonlinear hyperboloid least squares problem
We present a numerical experimentation of the global optimization algorithm presented by Velázquez et. al. [3] applied to a nonlinear hyperboloid least squares problem. This prob...
Leticia Velázquez, Miguel Argáez, Br...