How Long to Read Data Mining Techniques on Historical Image Databases

How Long Does it Take to Read Data Mining Techniques on Historical Image Databases?

It takes the average reader 2 hours to read Data Mining Techniques on Historical Image Databases by Xiaoyue Wang

Assuming a reading speed of 250 words per minute. Learn more

Description

We further present a novel semi-supervised shape classifier for historical image databases. The retrieval model is gradually learned in a self-training fashion using only a limited number of labeled instances. We then propose a new distance measure which mitigates variances in shape complexity. Our novel observation shows that shapes exhibit different shape complexities in the time series representation. In this thesis, we introduce a novel algorithm to measure this shape complexity, and we show a technique to adjust the traditional Euclidean distance so it is invariant to shape complexity. The experimental evaluations show a significant improvement in the classification accuracy of our novel semi-supervised learning method over the traditional shape classifiers. Finally, we address some myths in Dynamic Time Warping (DTW). As one of the earliest similarity measures for time series proposed in the literature, DTW has been widely discussed in the literature. In this thesis, we address some persistent myths about it, including some that have limited its adoption.

How long is Data Mining Techniques on Historical Image Databases?

Data Mining Techniques on Historical Image Databases by Xiaoyue Wang is 120 pages long, and a total of 30,000 words.

This makes it 40% the length of the average book. It also has 37% more words than the average book.

How Long Does it Take to Read Data Mining Techniques on Historical Image Databases Aloud?

The average oral reading speed is 183 words per minute. This means it takes 2 hours and 43 minutes to read Data Mining Techniques on Historical Image Databases aloud.

What Reading Level is Data Mining Techniques on Historical Image Databases?

Data Mining Techniques on Historical Image Databases is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Data Mining Techniques on Historical Image Databases?

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