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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,...
MEDIAFORENSICS
2010
15 years 5 months ago
Audio annotation watermarking with robustness against DA/AD conversion
In the paper we present a watermarking scheme developed to meet the specific requirements of audio annotation watermarking robust against DA/AD conversion (watermark detection aft...
Kun Qian, Christian Krätzer, Michael Biermann...
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PAMI
2006
125views more  PAMI 2006»
15 years 3 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...
CSDA
2004
124views more  CSDA 2004»
15 years 3 months ago
Fast and robust discriminant analysis
The goal of discriminant analysis is to obtain rules that describe the separation between groups of observations. Moreover it allows to classify new observations into one of the k...
Mia Hubert, Katrien van Driessen
AUTOMATICA
2005
112views more  AUTOMATICA 2005»
15 years 3 months ago
Robust maximum-likelihood estimation of multivariable dynamic systems
This paper examines the problem of estimating linear time-invariant state-space system models. In particular it addresses the parametrization and numerical robustness concerns tha...
Stuart Gibson, Brett Ninness