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TSP
2010
13 years 5 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
SBACPAD
2005
IEEE
176views Hardware» more  SBACPAD 2005»
14 years 4 months ago
Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation
The time required to simulate a complete benchmark program using the cycle-accurate model of a microprocessor can be prohibitively high. One of the proposed methodologies, represe...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
KAIS
2008
99views more  KAIS 2008»
13 years 10 months ago
Privacy-preserving SVM classification
Classical data mining algorithms implicitly assume complete access to all data, either in centralized or federated form. However, privacy and security concerns often prevent sharin...
Jaideep Vaidya, Hwanjo Yu, Xiaoqian Jiang
TVCG
2010
139views more  TVCG 2010»
13 years 5 months ago
Representation-Independent In-Place Magnification with Sigma Lenses
Focus+context interaction techniques based on the metaphor of lenses are used to navigate and interact with objects in large information spaces. They provide in-place magnification...
Emmanuel Pietriga, Olivier Bau, Caroline Appert
JSAC
2006
109views more  JSAC 2006»
13 years 10 months ago
Polarized MIMO channels in 3-D: models, measurements and mutual information
4G systems are expected to support data rates of the order of 100 Mbps in the outdoor environment and 1 Gbps in the indoor/stationary environment. In order to support such large p...
Mansoor Shafi, Min Zhang, Aris L. Moustakas, Peter...