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ICASSP
2008
IEEE
16 years 1 months ago
Maximum kernel density estimator for robust fitting
Robust model fitting plays an important role in many computer vision applications. In this paper, we propose a new robust estimator — Maximum Kernel Density Estimator (MKDE) bas...
Hanzi Wang
ISQED
2007
IEEE
146views Hardware» more  ISQED 2007»
16 years 27 days ago
Parameter-Variation-Aware Analysis for Noise Robustness
This paper studies the impact of variability on the noise robustness of logic gates using noise rejection curves (NRCs). NRCs allow noise pulses to be modeled using magnitude-dura...
Mosin Mondal, Kartik Mohanram, Yehia Massoud
CLUSTER
2006
IEEE
16 years 21 days ago
Robust task scheduling in non-deterministic heterogeneous computing systems
The paper addresses the problem of matching and scheduling of DAG-structured application to both minimize the makespan and maximize the robustness in a heterogeneous computing sys...
Zhiao Shi, Emmanuel Jeannot, Jack Dongarra
ISAS
2004
Springer
15 years 12 months ago
On Enhancing the Robustness of Commercial Operating Systems
A ubiquitous computing system derives its operations from the collective interactions of its constituent components. Consequently, a robust ubiquitous system entails that the discr...
Andréas Johansson, Adina Sarbu, Arshad Jhum...
AUTOMATICA
2006
66views more  AUTOMATICA 2006»
15 years 6 months ago
Robust residual generation for diagnosis including a reference model for residual behavior
: The main goal when synthesizing robust residual generators, for diagnosis and supervision, is to attenuate influence from model uncertainty on the residual while keeping fault de...
Erik Frisk, Lars Nielsen