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CAEPIA
2003
Springer
14 years 24 days ago
A Method to Adaptively Propagate the Set of Samples Used by Particle Filters
Abstract. In recent years, particle filters have emerged as a useful tool that enables the application of Bayesian reasoning to problems requiring dynamic state estimation. The ef...
Alvaro Soto
EDBT
2009
ACM
110views Database» more  EDBT 2009»
14 years 6 days ago
A sampling approach for XML query selectivity estimation
As the Extensible Markup Language (XML) rapidly establishes itself as the de facto standard for presenting, storing, and exchanging data on the Internet, large volume of XML data ...
Cheng Luo, Zhewei Jiang, Wen-Chi Hou, Feng Yu, Qia...
CCR
2002
105views more  CCR 2002»
13 years 7 months ago
Adaptive packet sampling for flow volume measurement
Traffic measurement and monitoring are an important component of network management and traffic engineering. With high-speed Internet backbone links, efficient and effective packe...
Baek-Young Choi, Jaesung Park, Zhi-Li Zhang
ICC
2007
IEEE
197views Communications» more  ICC 2007»
14 years 1 months ago
Basis Expansion Model and Doppler Diversity Techniques for Frequency Domain Channel Estimation and Equalization in DS-CDMA Syste
Abstract— In this paper, we propose a frequency domain adaptive estimation of Doppler shifts for multiple Doppler subpaths in direct sequence code division multiple access (DS-CD...
Tianqi Wang, Cheng Li, Hsiao-Hwa Chen
ISPD
2012
ACM
248views Hardware» more  ISPD 2012»
12 years 3 months ago
A fast estimation of SRAM failure rate using probability collectives
Importance sampling is a popular approach to estimate rare event failures of SRAM cells. We propose to improve importance sampling by probability collectives. First, we use “Kul...
Fang Gong, Sina Basir-Kazeruni, Lara Dolecek, Lei ...