low-rank matrices | Sciweavers

26

ICML
2010
IEEE

253views Machine Learning» more ICML 2010»

A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices

13 years 8 months ago

We propose a general and efficient algorithm for learning low-rank matrices. The proposed algorithm converges super-linearly and can keep the matrix to be learned in a compact fac...

Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama, His...

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24

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PAKDD
2009
ACM

124views Data Mining» more PAKDD 2009»

Dynamic Exponential Family Matrix Factorization

14 years 2 months ago

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Abstract. We propose a new approach to modeling time-varying relational data such as e-mail transactions based on a dynamic extension of matrix factorization. To estimate eﬀectiv...

Kohei Hayashi, Junichiro Hirayama, Shin Ishii

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22

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CVPR
2007
IEEE

163views Computer Vision» more CVPR 2007»

Modeling Appearances with Low-Rank SVM

14 years 9 months ago

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Several authors have noticed that the common representation of images as vectors is sub-optimal. The process of vectorization eliminates spatial relations between some of the near...

Lior Wolf, Hueihan Jhuang, Tamir Hazan

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22

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CVPR
2005
IEEE

189views Computer Vision» more CVPR 2005»

3D Reconstruction by Fitting Low-Rank Matrices with Missing Data

14 years 9 months ago

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Daniel Martinec, Tomás Pajdla

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