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CORR
2011
Springer
282views Education» more  CORR 2011»
14 years 8 months ago
Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising
We propose and analyze an extremely fast, efficient and simple method for solving the problem: min{ u 1 :Au=f,u∈Rn }. This method was first described in [1], with more details i...
Stanley Osher, Yu Mao, Bin Dong, Wotao Yin
FMCAD
2008
Springer
15 years 3 months ago
Augmenting a Regular Expression-Based Temporal Logic with Local Variables
The semantics of temporal logic is usually defined with respect to a word representing a computation path over a set of atomic propositions. A temporal logic formula does not contr...
Cindy Eisner, Dana Fisman
NIPS
2003
15 years 3 months ago
Measure Based Regularization
We address in this paper the question of how the knowledge of the marginal distribution P(x) can be incorporated in a learning algorithm. We suggest three theoretical methods for ...
Olivier Bousquet, Olivier Chapelle, Matthias Hein
ISCAS
2003
IEEE
201views Hardware» more  ISCAS 2003»
15 years 6 months ago
A regularized simultaneous autoregressive model for texture classification
In this paper, we present a new method for texture classification which we call the regularized simultaneous autoregressive method (RSAR). The regularization technique is introduc...
Yao-wei Wang, Yan-fei Wang, Wen Gao, Yong Xue
PAKDD
2005
ACM
164views Data Mining» more  PAKDD 2005»
15 years 7 months ago
Covariance and PCA for Categorical Variables
Covariances from categorical variables are defined using a regular simplex expression for categories. The method follows the variance definition by Gini, and it gives the covaria...
Hirotaka Niitsuma, Takashi Okada