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ECCV
2004
Springer
14 years 10 months ago
Evaluation of Robust Fitting Based Detection
Low-level image processing algorithms generally provide noisy features that are far from being Gaussian. Medium-level tasks such as object detection must therefore be robust to out...
Sio-Song Ieng, Jean-Philippe Tarel, Pierre Charbon...
ECCV
2002
Springer
14 years 10 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...
ICCAD
2004
IEEE
155views Hardware» more  ICCAD 2004»
14 years 6 months ago
Robust analog/RF circuit design with projection-based posynomial modeling
In this paper we propose a RObust Analog Design tool (ROAD) for post-tuning analog/RF circuits. Starting from an initial design derived from hand analysis or analog circuit synthe...
Xin Li, Padmini Gopalakrishnan, Yang Xu, Lawrence ...
PAMI
2006
125views more  PAMI 2006»
13 years 9 months ago
Channel Smoothing: Efficient Robust Smoothing of Low-Level Signal Features
In this paper, we present a new and efficient method to implement robust smoothing of low-level signal features: B-spline channel smoothing. This method consists of three steps: en...
Michael Felsberg, Per-Erik Forssén, Hanno S...
TSMC
2008
99views more  TSMC 2008»
13 years 9 months ago
Robust Regularized Kernel Regression
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu