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CORR
2004
Springer
108views Education» more  CORR 2004»
15 years 6 months ago
Comparing Multi-Target Trackers on Different Force Unit Levels
Consider the problem of tracking a set of moving targets. Apart from the tracking result, it is often important to know where the tracking fails, either to steer sensors to that p...
Hedvig Sidenbladh, Pontus Svenson, Johan Schubert
IVC
2002
148views more  IVC 2002»
15 years 6 months ago
Detecting lameness using 'Re-sampling Condensation' and 'multi-stream cyclic hidden Markov models'
A system for the tracking and classification of livestock movements is presented. The combined `tracker-classifier' scheme is based on a variant of Isard and Blakes `Condensa...
Derek R. Magee, Roger D. Boyle
AAAI
2010
15 years 1 months ago
Grouping Strokes into Shapes in Hand-Drawn Diagrams
Objects in freely-drawn sketches often have no spatial or temporal separation, making object recognition difficult. We present a two-step stroke-grouping algorithm that first clas...
Eric Jeffrey Peterson, Thomas F. Stahovich, Eric D...
PAMI
2011
15 years 1 months ago
Kernel Optimization in Discriminant Analysis
— Kernel mapping is one of the most used approaches to intrinsically derive nonlinear classifiers. The idea is to use a kernel function which maps the original nonlinearly separ...
Di You, Onur C. Hamsici, Aleix M. Martínez
COCO
2003
Springer
93views Algorithms» more  COCO 2003»
15 years 11 months ago
The complexity of stochastic sequences
We review and slightly strengthen known results on the Kolmogorov complexity of prefixes of effectively random sequences. First, there are recursively random random sequences su...
Wolfgang Merkle