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» The vSLAM Algorithm for Robust Localization and Mapping
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ICCV
2007
IEEE
14 years 4 months ago
Laplacian PCA and Its Applications
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
ESANN
2006
13 years 11 months ago
Magnification control for batch neural gas
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
Barbara Hammer, Alexander Hasenfuss, Thomas Villma...
RAS
2008
139views more  RAS 2008»
13 years 9 months ago
Unsupervised identification of useful visual landmarks using multiple segmentations and top-down feedback
In this paper, we tackle the problem of unsupervised selection and posterior recognition of visual landmarks in images sequences acquired by an indoor mobile robot. This is a high...
Pablo Espinace, Daniel Langdon, Alvaro Soto
ICRA
2009
IEEE
231views Robotics» more  ICRA 2009»
14 years 4 months ago
Accurate 3D ground plane estimation from a single image
— Accurate localization of landmarks in the vicinity of a robot is a first step towards solving the SLAM problem. In this work, we propose algorithms to accurately estimate the ...
Anoop Cherian, Vassilios Morellas, Nikolaos Papani...
COLCOM
2005
IEEE
14 years 3 months ago
On-demand overlay networking of collaborative applications
We propose a new overlay network, called Generic Identifier Network (GIN), for collaborative nodes to share objects with transactions across affiliated organizations by merging th...
Cheng-Jia Lai, Richard R. Muntz