It takes the average reader 1 hour and 1 minute to read Composing Fisher Kernels from Deep Neural Models by Tayyaba Azim
Assuming a reading speed of 250 words per minute. Learn more
This book shows machine learning enthusiasts and practitioners how to get the best of both worlds by deriving Fisher kernels from deep learning models. In addition, the book shares insight on how to store and retrieve large-dimensional Fisher vectors using feature selection and compression techniques. Feature selection and feature compression are two of the most popular off-the-shelf methods for reducing data’s high-dimensional memory footprint and thus making it suitable for large-scale visual retrieval and classification. Kernel methods long remained the de facto standard for solving...
Composing Fisher Kernels from Deep Neural Models by Tayyaba Azim is 59 pages long, and a total of 15,281 words.
This makes it 20% the length of the average book. It also has 19% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 1 hour and 23 minutes to read Composing Fisher Kernels from Deep Neural Models aloud.
Composing Fisher Kernels from Deep Neural Models is suitable for students ages 8 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.
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