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GFKL
2005
Springer
88views Data Mining» more  GFKL 2005»
16 years 2 days ago
The Partial Robust M-approach
The PLS approach is a widely used technique to estimate path models relating various blocks of variables measured from the same population. It is frequently applied in the social s...
Sven Serneels, Christophe Croux, Peter Filzmoser, ...
CVPR
2008
IEEE
16 years 8 months ago
Robust statistics on Riemannian manifolds via the geometric median
The geometric median is a classic robust estimator of centrality for data in Euclidean spaces. In this paper we formulate the geometric median of data on a Riemannian manifold as ...
P. Thomas Fletcher, Suresh Venkatasubramanian, Sar...
IVA
2009
Springer
16 years 1 months ago
Human-Centered Distributed Conversational Modeling: Efficient Modeling of Robust Virtual Human Conversations
Currently, applications that focus on providing conversations with virtual humans require extensive work to create robust conversational models. We present a new approach called Hu...
Brent Rossen, Scott Lind, Benjamin Lok
LCN
2006
IEEE
16 years 17 days ago
Landscape-3D; A Robust Localization Scheme for Sensor Networks over Complex 3D Terrains
— Despite the fact that sensor networks could often be deployed over three-dimensional (3D) terrains, most approaches on sensor localizations are designed and evaluated consideri...
Liqiang Zhang, Xiaobo Zhou, Qiang Cheng
APPROX
2006
Springer
130views Algorithms» more  APPROX 2006»
15 years 10 months ago
Robust Mixing
In this paper, we develop a new "robust mixing" framework for reasoning about adversarially modified Markov Chains (AMMC). Let P be the transition matrix of an irreducib...
Murali K. Ganapathy