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For a snake using the region information in the image based on Minimum Description Length (MDL) we have [12].
The SRT method has a simple method of tree selection based on Minimum Description Length (MDL) [113] principle.
Indeed, other model selection tools, like the deviance information criterion (Spiegelhalter et al 2002) and the approach based on minimum description length (Grunwald 2007), also result in expressions that feature a term that penalizes complex models.
Furthermore, automatic methods based on minimum description length principle and cross-validation are devised to select the polynomial orders, as a requirement of the inverse polynomial reconstruction method in practical applications.
This paper presents a model-selection strategy based on minimum description length (MDL) that keeps the kernel least-mean-square (KLMS) model tuned to the complexity of the input data.
The third article, "Self-organizing kernel adaptive filtering," by S. Zhao, B. Chen, Z. Cao, P. Zhu, and J. C. Principe, deals with kernel adaptive filters and presents a model-selection strategy based on minimum description length that keeps the kernel least-mean-square model tuned to the complexity of the input data.
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Their model is based on minimum cost and maximum return.
Regions are iteratively merged based on minimum spanning tree technique.
A novel operation strategy based on minimum distance was proposed.
Based on this, members are ranked based on minimum net worth.
Since a complete automatic detection is rarely feasible, we would like to develop general discrimination and tracking methods based on minimum a priori requirements on the shape and the size of the objects, followed by a close inspection of the results made by the user on a compact, though complete, description (2D image) of the trajectories.
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