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CORR
2010
Springer
228views Education» more  CORR 2010»
15 years 3 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
SIGPRO
2010
154views more  SIGPRO 2010»
15 years 3 months ago
UPRE method for total variation parameter selection
Total Variation (TV) regularization is a popular method for solving a wide variety of inverse problems in image processing. In order to optimize the reconstructed image, it is imp...
Youzuo Lin, Brendt Wohlberg, Hongbin Guo
TC
2011
14 years 12 months ago
Complexity of Data Collection, Aggregation, and Selection for Wireless Sensor Networks
— Processing the gathered information efficiently is a key functionality for wireless sensor networks. In this article, we study the time complexity, message complexity (number ...
Xiang-Yang Li, Yajun Wang, Yu Wang
167
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BMCBI
2006
201views more  BMCBI 2006»
15 years 5 months ago
Gene selection algorithms for microarray data based on least squares support vector machine
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
SEBD
1996
94views Database» more  SEBD 1996»
15 years 6 months ago
Efficient Algorithm for determining the Optimal Execution Strategy for Path Queries in OODBS
Abstract. To select an optimal query evaluation strategy for a path query in an object-oriented database system one has to exploit the available index structures on the path. In a ...
Weimin Chen, Karl Aberer