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190
Voted
CVPR
2009
IEEE
15 years 10 months ago
2009
IEEE
Nonnegative Matrix Factorization (NMF) approximates a given data matrix as a product of two low rank nonnegative matrices, usually by minimizing the L2 or the KL distance between ...
188
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
This paper presents a gregarious particle swarm optimization algorithm (G-PSO) in which the particles explore the search space by aggressively scouting the local minima with the h...
152
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BMVC
2001
15 years 9 months ago
2001
This paper introduces a new method of registering point sets. The registration error is directly minimized using general-purpose non-linear optimization (the Levenberg–Marquardt...
179
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BIOID
2008
2008
Discriminant Non-negative Matrix Factorization and Projected Gradients for Frontal Face Verification
15 years 8 months ago
A novel Discriminant Non-negative Matrix Factorization (DNMF) method that uses projected gradients, is presented in this paper. The proposed algorithm guarantees the algorithm'...
193
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ECML
2006
Springer
15 years 8 months ago
2006
Springer
This paper presents a decomposition method for efficiently constructing 1-norm Support Vector Machines (SVMs). The decomposition algorithm introduced in this paper possesses many d...