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AAAI
2012
13 years 3 months ago
Advances in Lifted Importance Sampling
We consider lifted importance sampling (LIS), a previously proposed approximate inference algorithm for statistical relational learning (SRL) models. LIS achieves substantial vari...
Vibhav Gogate, Abhay Kumar Jha, Deepak Venugopal
116
Voted
MOBISYS
2004
ACM
16 years 10 days ago
Energy-Efficient Surveillance System Using Wireless Sensor Networks
The focus of surveillance missions is to acquire and verify information about enemy capabilities and positions of hostile targets. Such missions often involve a high element of ri...
Tian He, Sudha Krishnamurthy, John A. Stankovic, T...
110
Voted
CGO
2010
IEEE
15 years 7 months ago
Exploiting statistical correlations for proactive prediction of program behaviors
This paper presents a finding and a technique on program behavior prediction. The finding is that surprisingly strong statistical correlations exist among the behaviors of diffe...
Yunlian Jiang, Eddy Z. Zhang, Kai Tian, Feng Mao, ...
SIGIR
2009
ACM
15 years 7 months ago
CompositeMap: a novel framework for music similarity measure
With the continuing advances in data storage and communication technology, there has been an explosive growth of music information from different application domains. As an effe...
Bingjun Zhang, Jialie Shen, Qiaoliang Xiang, Ye Wa...
147
Voted
ICDCS
2008
IEEE
15 years 7 months ago
Toward Predictive Failure Management for Distributed Stream Processing Systems
Distributed stream processing systems (DSPSs) have many important applications such as sensor data analysis, network security, and business intelligence. Failure management is ess...
Xiaohui Gu, Spiros Papadimitriou, Philip S. Yu, Sh...