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» An Adaptive Bayesian Technique for Tracking Multiple Objects
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TMI
2010
175views more  TMI 2010»
13 years 2 months ago
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
Thomas Vincent, Laurent Risser, Philippe Ciuciu
CIKM
2005
Springer
13 years 9 months ago
DIST: a distributed spatio-temporal index structure for sensor networks
We consider the general problem of tracking moving objects in sensor networks. The specific application we consider is that of tracking a chemical plume moving over a large infra...
Anand Meka, Ambuj K. Singh

Publication
262views
14 years 12 months ago
Attribute Multiset Grammars for Global Explanations of Activities
Recognizing multiple interleaved activities in a video requires implicitly partitioning the detections for each activity. Furthermore, constraints between activities are important ...
Dima Damen, David Hogg
LREC
2008
75views Education» more  LREC 2008»
13 years 9 months ago
Experimental Fast-Tracking of Morphological Analysers for Nguni Languages
The development of natural language processing (NLP) components is resource-intensive and therefore justifies exploring ways of reducing development time and effort when building ...
Sonja E. Bosch, Laurette Pretorius, Kholisa Podile...
SIAMIS
2008
116views more  SIAMIS 2008»
13 years 7 months ago
Quantitative Object Reconstruction Using Abel Transform X-Ray Tomography and Mixed Variable Optimization
This paper introduces a new approach to the problem of quantitative reconstruction of an object from few radiographic views. A mixed variable programming problem is formulated in ...
Mark A. Abramson, Thomas J. Asaki, J. E. Dennis, K...