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CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 6 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
INFOCOM
2010
IEEE
15 years 5 months ago
How do Superpeer Networks Emerge?
—In this paper, we develop an analytical framework which explains the emergence of superpeer networks on execution of the commercial peer-to-peer bootstrapping protocols by incom...
Bivas Mitra, Abhishek Kumar Dubey, Sujoy Ghose, Ni...
ICDE
2006
IEEE
156views Database» more  ICDE 2006»
16 years 8 months ago
What's Different: Distributed, Continuous Monitoring of Duplicate-Resilient Aggregates on Data Streams
Emerging applications in sensor systems and network-wide IP traffic analysis present many technical challenges. They need distributed monitoring and continuous tracking of events....
Graham Cormode, S. Muthukrishnan, Wei Zhuang
CASES
2009
ACM
16 years 1 months ago
An accelerator-based wireless sensor network processor in 130nm CMOS
Networks of ultra-low-power nodes capable of sensing, computation, and wireless communication have applications in medicine, science, industrial automation, and security. Over the...
Mark Hempstead, Gu-Yeon Wei, David Brooks
PODS
2010
ACM
232views Database» more  PODS 2010»
15 years 11 months ago
Optimal sampling from distributed streams
A fundamental problem in data management is to draw a sample of a large data set, for approximate query answering, selectivity estimation, and query planning. With large, streamin...
Graham Cormode, S. Muthukrishnan, Ke Yi, Qin Zhang