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» Handling variations and uncertainties
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ICPR
2008
IEEE
14 years 10 months ago
Robust tracking of spatial related components
This paper introduces a hierarchical approach for multicomponent tracking, where the object-to-be-tracked is modeled as a group of spatial related parts. We propose to use a robus...
Horst Bischof, Michael Donoser, Thomas Mauthner
ICPR
2006
IEEE
14 years 10 months ago
Type-2 Fuzzy Markov Random Fields to Handwritten Character Recognition
This paper integrates Markov random fields (MRFs) with type-2 fuzzy sets (T2 FSs) referred to as T2 FMRFs, which can handle the fuzziness of the labeling space as well as the rand...
Jia Zeng, Zhi-Qiang Liu
ICML
2007
IEEE
14 years 9 months ago
Winnowing subspaces
We generalize the Winnow algorithm for learning disjunctions to learning subspaces of low rank. Subspaces are represented by symmetric projection matrices. The online algorithm ma...
Manfred K. Warmuth
HRI
2010
ACM
14 years 3 months ago
Following directions using statistical machine translation
—Mobile robots that interact with humans in an intuitive way must be able to follow directions provided by humans in unconstrained natural language. In this work we investigate h...
Cynthia Matuszek, Dieter Fox, Karl Koscher
ICASSP
2009
IEEE
14 years 3 months ago
Incremental predictive and adaptive noise compensation
Model compensation schemes are a powerful approach to handling mismatches between training and testing conditions. Normally these schemes are run in a batch adaptation mode, re-re...
Federico Flego, Mark J. F. Gales