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JMLR
2010
187views more  JMLR 2010»
13 years 3 months ago
SFO: A Toolbox for Submodular Function Optimization
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
Andreas Krause
DCC
2004
IEEE
14 years 8 months ago
Distortion-Optimal Transmission of Progressive Images over Channels with Random Bit Errors and Packet Erasures
We present a statistical optimization framework for solving the end-to-end problem of progressive transmission of images over noisy channels. We consider the impacts of transmissi...
Homayoun Yousefi'zadeh, Hamid Jafarkhani, Farzad E...
CDC
2008
IEEE
139views Control Systems» more  CDC 2008»
14 years 3 months ago
Iterative Risk Allocation: A new approach to robust Model Predictive Control with a joint chance constraint
Abstract— This paper proposes a novel two-stage optimization method for robust Model Predictive Control (RMPC) with Gaussian disturbance and state estimation error. Since the dis...
Masahiro Ono, Brian C. Williams
ICASSP
2011
IEEE
13 years 10 days ago
Multiple-channel detection of a Gaussian time series over frequency-flat channels
This work addresses the problem of deciding whether a set of realizations of a vector-valued time series with unknown temporal correlation are spatially correlated or not. Speciï¬...
David Ramírez, Javier Vía, Ignacio S...
TIP
2008
175views more  TIP 2008»
13 years 8 months ago
Algorithmic and Architectural Optimizations for Computationally Efficient Particle Filtering
Abstract--In this paper, we analyze the computational challenges in implementing particle filtering, especially to video sequences. Particle filtering is a technique used for filte...
Aswin C. Sankaranarayanan, Ankur Srivastava, Rama ...