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ATMOS
2007
114views Optimization» more  ATMOS 2007»
15 years 5 months ago
Fast Approaches to Robust Railway Timetabling
The Train Timetabling Problem (TTP) consists in finding a train schedule on a railway network that satisfies some operational constraints and maximizes a profit function which c...
Matteo Fischetti, Arrigo Zanette, Domenico Salvagn...
134
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
210
Voted
ECCV
2002
Springer
16 years 4 months ago
Using Robust Estimation Algorithms for Tracking Explicit Curves
The context of this work is lateral vehicle control using a camera as a sensor. A natural tool for controlling a vehicle is recursive filtering. The well-known Kalman fil...
Jean-Philippe Tarel, Sio-Song Ieng, Pierre Charbon...
DAGM
2006
Springer
15 years 7 months ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...
AIPS
2008
15 years 6 months ago
Generating Robust Schedules Subject to Resource and Duration Uncertainties
We consider the Resource-Constrained Project Scheduling Problem with minimal and maximal time lags under resource and duration uncertainties. To manage resource uncertainties, we ...
Na Fu, Hoong Chuin Lau, Fei Xiao