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CVPR
2012
IEEE
11 years 10 months ago
Bilevel sparse coding for coupled feature spaces
In this paper, we propose a bilevel sparse coding model for coupled feature spaces, where we aim to learn dictionaries for sparse modeling in both spaces while enforcing some desi...
Jianchao Yang, Zhaowen Wang, Zhe Lin, Xianbiao Shu...

Publication
400views
15 years 2 months ago
Enforcing Integrability by Error Correction using L1-minimization
Surface reconstruction from gradient fields is an important final step in several applications involving gradient manipulations and estimation. Typically, the resulting gradient ...
Dikpal Reddy, Amit K. Agrawal, Rama Chellappa
TSP
2010
13 years 2 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
STOC
2009
ACM
145views Algorithms» more  STOC 2009»
14 years 8 months ago
Intrinsic robustness of the price of anarchy
The price of anarchy (POA) is a worst-case measure of the inefficiency of selfish behavior, defined as the ratio of the objective function value of a worst Nash equilibrium of a g...
Tim Roughgarden
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 8 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...