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ICCV
2007
IEEE
14 years 12 months ago
Learning Auto-Structured Regressor from Uncertain Nonnegative Labels
In this paper, we take the human age and pose estimation problems as examples to study automatic designing regressor from training samples with uncertain nonnegative labels. First...
Shuicheng Yan, Huan Wang, Xiaoou Tang, Thomas S. H...
AAAI
2012
12 years 11 days ago
Transfer Learning in Collaborative Filtering with Uncertain Ratings
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
Weike Pan, Evan Wei Xiang, Qiang Yang
PODS
2009
ACM
124views Database» more  PODS 2009»
14 years 10 months ago
Indexing uncertain data
Querying uncertain data has emerged as an important problem in data management due to the imprecise nature of many measurement data. In this paper we study answering range queries...
Pankaj K. Agarwal, Siu-Wing Cheng, Yufei Tao, Ke Y...
CP
2000
Springer
14 years 2 months ago
Linear Formulation of Constraint Programming Models and Hybrid Solvers
Constraint programming offers a variety of modeling objects such as logical and global constraints, that lead to concise and clear models for expressing combinatorial optimization...
Philippe Refalo
ICIP
2003
IEEE
14 years 11 months ago
Linear approximations for rate control in video coding
An efficient method for rate control is illustrated for joint source-channel rate selection and for encoding under multiple leaky bucket buffer constraints. This method shows adva...
Yegnaswamy Sermadevi, Sheila S. Hemami