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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
CLUSTER
2006
IEEE
16 years 19 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
IROS
2006
IEEE
152views Robotics» more  IROS 2006»
16 years 18 days ago
Experiments with robust estimation techniques in real-time robot vision
— The goal of this paper is to present an overview of robust estimation techniques with a special focus on robotic vision applications. In this particular context, constraints du...
Ezio Malis, Éric Marchand
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...
AICS
2009
15 years 4 months ago
Robustness Analysis of Model-Based Collaborative Filtering Systems
Collaborative filtering (CF) recommender systems are very popular and successful in commercial application fields. However, robustness analysis research has shown that conventional...
Zunping Cheng, Neil Hurley