14. The system of claim 13 , wherein to said select one of the nearest neighbor feature vectors from each of the collections of nearest neighbor feature vectors, the computer device is configured to: apply a weighting to the collections of nearest neighbor feature vectors that encourages the selection, for adjacent samples of the query stroke, of nearest neighbor feature vectors for adjacent samples of a same reference stroke; and apply dynamic programming to the collections of weighted nearest neighbor feature vectors to determine the lowest cost sequence of nearest neighbor feature vectors.
13. The system of claim 10 , wherein to said create the sequence of synthesized poses, the computer device is further configured to: identify a collection of nearest neighbor feature vectors for each of the plurality of samples of the query stroke, wherein the collection of nearest neighbor feature vectors for each sample of the query stroke comprises two or more feature vectors for respective samples of one or more reference strokes that are most similar to the feature vector constructed for the sample of the query stroke; and wherein to said identify a best neighbor feature vector for each of the plurality of samples of the query stroke, one of the nearest neighbor feature vectors are selected from each of the collections of nearest neighbor feature vectors.