PMC:1630425 / 20025-20656 JSONTXT

{"project":"2_test","denotations":[{"id":"17049089-11895567-1690151","span":{"begin":235,"end":237},"obj":"11895567"}],"text":"Other approaches to seeding iterative maps\nA possible solution to seed within the domain of possible sequences would be to start with a position randomly collected from a uniform distribution, as indeed used in the original USM paper [14]. However, that too will cause a bias, this time towards missing conservation of initial units in a sequence if that is the case. A negligible few false negatives may be an acceptable outcome for pattern recognition and would have no effect elsewhere in the sequence. However, it falls short of what is required for a kernel generating truly scale independent density distribution of patterns."}