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Two previous studies have attempted to recover abdominal contents through systematic sampling methods using multiple inhumations and two others have recovered colon contents in isolated instances.
Drop-out rate was 12%, comparable to traditional sequencing methods using multiple markers [ 45].
We perform an extensive simulation study and compare the trees from all methods using multiple criteria.
Methods using multiple genomic data sources have also been proposed [ 9, 10].
Below we benchmark the performance of PHLAT together with other methods using multiple public and in-house datasets.
In addition, the methods using multiple data sources are generally better than their counterparts using one single type of data.
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Some methods used multiple cameras to reconstruct backgrounds in PGS using the plane sweep algorithm [29, 40].
A second class of methods uses multiple parameters per event (per voxel) to capture temporal information more faithfully.
Previous view-invariant methods use multiple cameras in both the training and testing phases of action recognition or require storing many examples of a single action from multiple viewpoints.
Multiple-kernel learning methods use multiple kernels by combining them into a single one via a combination function.
The authors propose a method using multiple Huffman coding tables.
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