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» Detection of Stochastic Processes
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129
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DATE
2008
IEEE
101views Hardware» more  DATE 2008»
15 years 10 months ago
Resilient Dynamic Power Management under Uncertainty
With the increasing levels of variability and randomness in the characteristics and behavior of manufactured nanoscale structures and devices, achieving performance optimization u...
Hwisung Jung, Massoud Pedram
UAI
2008
15 years 5 months ago
Church: a language for generative models
Formal languages for probabilistic modeling enable re-use, modularity, and descriptive clarity, and can foster generic inference techniques. We introduce Church, a universal langu...
Noah Goodman, Vikash K. Mansinghka, Daniel M. Roy,...
CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 4 months ago
Random Information Spread in Networks
Let G = (V, E) be an undirected loopless graph with possible parallel edges and s, t V . Assume that s is labelled at the initial time step and that every labelled vertex copies i...
Raymond Lapus, Frank Simon, Peter Tittmann
69
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Multicast transmit beamforming using a randomize-in-time strategy
Recently there has been much interest in using transmit beamforming to provide multi-antenna physical-layer multicasting. A state of the art in this context is the semidefinite r...
Sissi X. Wu, Wing-Kin Ma
129
Voted
ICCV
2009
IEEE
16 years 9 months ago
Evaluating Information Contributions of Bottom-up and Top-down Processes
This paper presents a method to quantitatively evaluate information contributions of individual bottom-up and topdown computing processes in object recognition. Our objective is...
Xiong Yang, Tianfu Wu, Song-Chun Zhu