It takes the average reader 4 hours and 10 minutes to read Knowledge Transfer between Computer Vision and Text Mining by Radu Tudor Ionescu
Assuming a reading speed of 250 words per minute. Learn more
This ground-breaking text/reference diverges from the traditional view that computer vision (for image analysis) and string processing (for text mining) are separate and unrelated fields of study, propounding that images and text can be treated in a similar manner for the purposes of information retrieval, extraction and classification. Highlighting the benefits of knowledge transfer between the two disciplines, the text presents a range of novel similarity-based learning (SBL) techniques founded on this approach. Topics and features: describes a variety of SBL approaches, including nearest neighbor models, local learning, kernel methods, and clustering algorithms; presents a nearest neighbor model based on a novel dissimilarity for images; discusses a novel kernel for (visual) word histograms, as well as several kernels based on a pyramid representation; introduces an approach based on string kernels for native language identification; contains links for downloading relevant open source code.
Knowledge Transfer between Computer Vision and Text Mining by Radu Tudor Ionescu is 250 pages long, and a total of 62,500 words.
This makes it 84% the length of the average book. It also has 76% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 41 minutes to read Knowledge Transfer between Computer Vision and Text Mining aloud.
Knowledge Transfer between Computer Vision and Text Mining is suitable for students ages 12 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.
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