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ISCAS
1999
IEEE
94views Hardware» more  ISCAS 1999»
13 years 12 months ago
Lower bounds on energy dissipation and noise-tolerance for deep submicron VLSI
In this paper, we obtain the lower bounds on total energy dissipation of deep submicron (DSM) VLSI circuits via an informationtheoretic framework. This framework enables the deriv...
Rajamohana Hegde, Naresh R. Shanbhag
CDC
2009
IEEE
135views Control Systems» more  CDC 2009»
13 years 8 months ago
On stochastic receding horizon control with bounded control inputs
This paper is concerned with the problem of receding horizon control of discrete-time systems subject to possibly unbounded random noise inputs, while satisfying hard bounds on the...
Peter Hokayem, Debasish Chatterjee, John Lygeros
TIT
2008
119views more  TIT 2008»
13 years 7 months ago
Asymptotic Properties of the Detrended Fluctuation Analysis of Long-Range-Dependent Processes
In the past few years, a certain number of authors have proposed analysis methods of the time series built from a long range dependence noise. One of these methods is the Detrended...
Jean-Marc Bardet, Imen Kammoun
BMCBI
2004
90views more  BMCBI 2004»
13 years 7 months ago
Statistical monitoring of weak spots for improvement of normalization and ratio estimates in microarrays
Background: Several aspects of microarray data analysis are dependent on identification of genes expressed at or near the limits of detection. For example, regression-based normal...
Igor Dozmorov, Nicholas Knowlton, Yuhong Tang, Mic...
APIN
2004
116views more  APIN 2004»
13 years 7 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp