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TIP
2010
127views more  TIP 2010»
15 years 4 months ago
Bayesian Compressive Sensing Using Laplace Priors
In this paper we model the components of the compressive sensing (CS) problem, i.e., the signal acquisition process, the unknown signal coefficients and the model parameters for ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
TKDE
2010
164views more  TKDE 2010»
15 years 4 months ago
PAM: An Efficient and Privacy-Aware Monitoring Framework for Continuously Moving Objects
—Efficiency and privacy are two fundamental issues in moving object monitoring. This paper proposes a privacy-aware monitoring (PAM) framework that addresses both issues. The fra...
Haibo Hu, Jianliang Xu, Dik Lun Lee
TLT
2010
90views more  TLT 2010»
15 years 4 months ago
To Flow and Not to Freeze: Applying Flow Experience to Mobile Learning
— A key design goal of mobile learning is that its built-in experiences are enjoyable and proactive, empowering the learner with the knowledge and ability to self-manage. This im...
Jungho Park, David Parsons, Hokyoung Ryu
TMC
2010
137views more  TMC 2010»
15 years 4 months ago
A Metric for DISH Networks: Analysis, Implications, and Applications
—In wireless networks, node cooperation has been exploited as a data relaying mechanism for decades. However, the wireless channel allows for much richer interaction among nodes....
Tie Luo, Vikram Srinivasan, Mehul Motani
TMC
2010
182views more  TMC 2010»
15 years 4 months ago
Rate Adaptation in Congested Wireless Networks through Real-Time Measurements
—Rate adaptation is a critical component that impacts the performance of IEEE 802.11 wireless networks. In congested networks, traditional rate adaptation algorithms have been sh...
Prashanth Aravinda Kumar Acharya, Ashish Sharma, E...
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