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» Sampling Techniques for Kernel Methods
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TNN
2010
127views Management» more  TNN 2010»
14 years 4 months ago
RAMOBoost: ranked minority oversampling in boosting
In recent years, learning from imbalanced data has attracted growing attention from both academia and industry due to the explosive growth of applications that use and produce imba...
Sheng Chen, Haibo He, Edwardo A. Garcia
ICASSP
2011
IEEE
14 years 1 months ago
Complex random matrices and multiple-antenna spectrum sensing
In this paper, we study the eigenvalue-based spectrum sensing techniques for multiple-antenna cognitive radio networks. First, we study the extreme eigenvalue distributions of a c...
Tharmalingam Ratnarajah, Caijun Zhong, Ayse Kortun...
CISS
2010
IEEE
14 years 1 months ago
Average case analysis of sparse recovery from combined fusion frame measurements
—Sparse representations have emerged as a powerful tool in signal and information processing, culminated by the success of new acquisition and processing techniques such as Compr...
Petros Boufounos, Gitta Kutyniok, Holger Rauhut
ICDE
2009
IEEE
114views Database» more  ICDE 2009»
15 years 11 months ago
On Efficient Query Processing of Stream Counts on the Cell Processor
In recent years, the sketch-based technique has been presented as an effective method for counting stream items on processors with limited storage and processing capabilities, such...
Dina Thomas, Rajesh Bordawekar, Charu C. Aggarwal,...
CGO
2010
IEEE
15 years 4 months ago
Automatic creation of tile size selection models
Tiling is a widely used loop transformation for exposing/exploiting parallelism and data locality. Effective use of tiling requires selection and tuning of the tile sizes. This is...
Tomofumi Yuki, Lakshminarayanan Renganarayanan, Sa...