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» A new concept of robustness
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TIP
2010
121views more  TIP 2010»
13 years 3 months ago
Robust Processing of Optical Flow of Fluids
Abstract--This paper proposes a new approach, coupling physical models and image estimation techniques, for modelling the movement of fluids. The fluid flow is characterized by tur...
Ashish Doshi, Adrian G. Bors
IPMI
2011
Springer
13 years 17 days ago
Surface-Region Context in Optimal Multi-object Graph-Based Segmentation: Robust Delineation of Pulmonary Tumors
Abstract. Multi-object segmentation with mutual interaction is a challenging task in medical image analysis. We report a novel solution to a segmentation problem, in which target o...
Qi Song, Mingqing Chen, Junjie Bai, Milan Sonka, X...
TREC
2003
13 years 10 months ago
Fondazione Ugo Bordoni at TREC 2003: Robust and Web Track
Our participation in TREC 2003 aims to adapt the use of the DFR (Divergence From Randomness) models with Query Expansion (QE) to the robust track and the topic distillation task o...
Giambattista Amati, Claudio Carpineto, Giovanni Ro...
BMCBI
2007
123views more  BMCBI 2007»
13 years 9 months ago
Robust clustering in high dimensional data using statistical depths
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilki...
STOC
2009
ACM
145views Algorithms» more  STOC 2009»
14 years 9 months ago
Differential privacy and robust statistics
We show by means of several examples that robust statistical estimators present an excellent starting point for differentially private estimators. Our algorithms use a new paradig...
Cynthia Dwork, Jing Lei