It takes the average reader 2 hours and 44 minutes to read Deep Learning Algorithms for Image Understanding Based on Multiple Cues by Xin Guo
Assuming a reading speed of 250 words per minute. Learn more
Then, a Siamese model based on the proposed baseline DNN, which incorporates scene features, is developed for social relation recognition. Experimental results show that the proposed baseline DNN provides essential prior knowledge of faces, reduces computational pre-training time, and leads to outperforming state-of-the-art results.
Deep Learning Algorithms for Image Understanding Based on Multiple Cues by Xin Guo is 159 pages long, and a total of 41,181 words.
This makes it 54% the length of the average book. It also has 50% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 3 hours and 45 minutes to read Deep Learning Algorithms for Image Understanding Based on Multiple Cues aloud.
Deep Learning Algorithms for Image Understanding Based on Multiple Cues 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.
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