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CORR
2011
Springer
282views Education» more  CORR 2011»
13 years 4 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
13 years 10 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
13 years 10 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»
14 years 2 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»
14 years 2 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