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185
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CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
Matrix factorization has many applications in computer vision. Singular Value Decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missing ...
168
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CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
Many sources of information relevant to computer vision and machine learning tasks are often underused. One example is the similarity between the elements from a novel source, suc...
187
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ECCV
2006
Springer
16 years 8 months ago
2006
Springer
Abstract. In Computer Vision applications, one usually has to work with uncertain data. It is therefore important to be able to deal with uncertain geometry and uncertain transform...
177
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ECCV
2006
Springer
16 years 8 months ago
2006
Springer
Abstract. The presence of noise renders the classical factorization method almost impractical for real-world multi-body motion tracking problems. The main problem stems from the ef...
144
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ICIP
1995
IEEE
16 years 8 months ago
1995
IEEE
Modern video applications call for computationally intensive data processing at very high data rate. In order to meet the high-performance/low-cost constraints, the stateof-the-ar...