Comment Location:
http://pacocomputer.blogspot.com/2010/12/reading-19-diagram-structure.html
Summary:
Bayes Theorem is a probability technique for guessing if a piece of data belongs to a particular class based on training data. This has been applied to sketch recognition. The algorithm also involves Markov properties, and I do not have a background in that; due to this, my explanation on the algorithm will be rather scant. The algorithm only attempts to identify components within a diagram sketch.
The results, like all learning classifiers (and most algorithms on the planet) were not perfect. The algorithm failed to give correct identification for all sketches.
Discussion:
The paper used some things I do not a background on so I cannot offer much in the way of discussion. I can say the algorithm chose an approach I have not seen before and the results were not perfect. Still, it's a nice, math-heavy idea for a field. It seems most fields try that route at some point.
The proposed work shows an interesting method to segment ink features from a sketch application. The method is mathematically rigorous and therefore hard to understand by the content. Great deal of information of the feature extraction omitted from the paper
ReplyDeleteI also had trouble understanding this paper. I would have preferred more focus on its applications, with possibly a link to information on the intricacies of their employed algorithms.
ReplyDelete