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» Parameterized Complexity and Approximation Algorithms
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PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
14 years 8 months ago
Large-Scale Support Vector Learning with Structural Kernels
Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
Aliaksei Severyn, Alessandro Moschitti
110
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COLT
2010
Springer
14 years 8 months ago
Forest Density Estimation
We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estim...
Anupam Gupta, John D. Lafferty, Han Liu, Larry A. ...
GLOBECOM
2010
IEEE
14 years 8 months ago
Relay Station Placement for Cooperative Communications in WiMAX Networks
The recently emerging WiMAX (IEEE 802.16) is a promising telecommunication technology to provide low-cost, high-speed and long-range wireless communications. To meet the growing de...
Dejun Yang, Xi Fang, Guoliang Xue, Jian Tang
ICPR
2010
IEEE
14 years 8 months ago
One-Lead ECG-based Personal Identification Using Ziv-Merhav Cross Parsing
The advance of falsification technology increases security concerns and gives biometrics an important role in security solutions. The electrocardiogram (ECG) is an emerging biometr...
David Pereira Coutinho, Ana L. N. Fred, Már...
TSP
2010
14 years 4 months ago
Low-complexity decoding via reduced dimension maximum-likelihood search
In this paper, we consider a low-complexity detection technique referred to as a reduced dimension maximum-likelihood search (RD-MLS). RD-MLS is based on a partitioned search which...
Jun Won Choi, Byonghyo Shim, Andrew C. Singer, Nam...