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AAAI
2011
12 years 7 months ago
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions
Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong H...
ICCV
2009
IEEE
13 years 5 months ago
Learning with dynamic group sparsity
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
IJCNN
2006
IEEE
14 years 1 months ago
Pattern Selection for Support Vector Regression based on Sparseness and Variability
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
Jiyoung Sun, Sungzoon Cho
VTC
2008
IEEE
207views Communications» more  VTC 2008»
14 years 2 months ago
Practical Results of Hybrid AOA/TDOA Geo-Location Estimation in CDMA Wireless Networks
—This paper describes a hybrid AOA/TODA Mobile Station (MS) location estimation method based on the CDMA wireless communications signals. The method utilized estimates the Angle ...
Ali Broumandan, Tao Lin, John Nielsen, Géra...
TSP
2010
13 years 2 months ago
Distributed sampling of signals linked by sparse filtering: theory and applications
We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin ...
Ali Hormati, Olivier Roy, Yue M. Lu, Martin Vetter...