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|Title:||Chromosome classification using dynamic time warping|
Dynamic time warping
|Citation:||Legrand, B., Chang, C.S., Ong, S.H., Neo, S.-Y., Palanisamy, N. (2008-02-01). Chromosome classification using dynamic time warping. Pattern Recognition Letters 29 (3) : 215-222. ScholarBank@NUS Repository. https://doi.org/10.1016/j.patrec.2007.09.017|
|Abstract:||A classifier based on dynamic time warping (DTW) has been developed to perform the classification of human chromosomes. DTW is used in speech recognition applications to compare two time-sequences. This paper describes a method to adapt the DTW technique in order to deal with the length and the density profile, which are common features used in classifying chromosomes. The DTW classifier is able to compare chromosomes with different elongations. Since chromosomes are non-rigid objects, the proposed classifier has the main advantage of requiring only a small training set in comparison with the conventional methods based on Bayesian classifiers or neural networks. For the same classification accuracy of 81.0%, we achieve a reduction of 88% of the size of the training set in comparison with a Bayesian classifier. © 2007 Elsevier B.V. All rights reserved.|
|Source Title:||Pattern Recognition Letters|
|Appears in Collections:||Staff Publications|
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