It takes the average reader 4 hours and 49 minutes to read Genetic Programming for Image Classification by Ying Bi
Assuming a reading speed of 250 words per minute. Learn more
This book offers several new GP approaches to feature learning for image classification. Image classification is an important task in computer vision and machine learning with a wide range of applications. Feature learning is a fundamental step in image classification, but it is difficult due to the high variations of images. Genetic Programming (GP) is an evolutionary computation technique that can automatically evolve computer programs to solve any given problem. This is an important research field of GP and image classification. No book has been published in this field. This book shows how...
Genetic Programming for Image Classification by Ying Bi is 279 pages long, and a total of 72,261 words.
This makes it 94% the length of the average book. It also has 88% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours and 34 minutes to read Genetic Programming for Image Classification aloud.
Genetic Programming for Image Classification 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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