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» Approximate Expectation Maximization
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110
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ICTAI
2007
IEEE
15 years 10 months ago
Curve Clustering with Spatial Constraints for Analysis of Spatiotemporal Data
In this paper we present a new approach for curve clustering designed for analysis of spatiotemporal data. Such kind of data contains both spatial and temporal patterns that we de...
Konstantinos Blekas, Christophoros Nikou, Nikolas ...
132
Voted
IROS
2007
IEEE
171views Robotics» more  IROS 2007»
15 years 9 months ago
A Kalman filter for robust outlier detection
— In this paper, we introduce a modified Kalman filter that can perform robust, real-time outlier detection in the observations, without the need for parameter tuning. Robotic ...
Jo-Anne Ting, Evangelos Theodorou, Stefan Schaal
143
Voted
CIA
2007
Springer
15 years 9 months ago
A Probabilistic Framework for Decentralized Management of Trust and Quality
In this paper, we propose a probabilistic framework targeting three important issues in the computation of quality and trust in decentralized systems. Specifically, our approach a...
Le-Hung Vu, Karl Aberer
114
Voted
ECML
2007
Springer
15 years 9 months ago
Learning an Outlier-Robust Kalman Filter
We introduce a modified Kalman filter that performs robust, real-time outlier detection, without the need for manual parameter tuning by the user. Systems that rely on high quali...
Jo-Anne Ting, Evangelos Theodorou, Stefan Schaal
126
Voted
3DPVT
2006
IEEE
185views Visualization» more  3DPVT 2006»
15 years 9 months ago
A Probabilistic Method for Aligning and Merging Range Images with Anisotropic Error Distribution
This paper describes a probabilistic method of aligning and merging range images. We formulate these issues as problems of estimating the maximum likelihood. By examining the erro...
Ryusuke Sagawa, Nanaho Osawa, Yasushi Yagi