It takes the average reader 5 hours to read Statistical Machine Learning for Human Behaviour Analysis by Thomas Moeslund
Assuming a reading speed of 250 words per minute. Learn more
This Special Issue focused on novel vision-based approaches, mainly related to computer vision and machine learning, for the automatic analysis of human behaviour. We solicited submissions on the following topics: information theory-based pattern classification, biometric recognition, multimodal human analysis, low resolution human activity analysis, face analysis, abnormal behaviour analysis, unsupervised human analysis scenarios, 3D/4D human pose and shape estimation, human analysis in virtual/augmented reality, affective computing, social signal processing, personality computing, activity recognition, human tracking in the wild, and application of information-theoretic concepts for human behaviour analysis. In the end, 15 papers were accepted for this special issue. These papers, that are reviewed in this editorial, analyse human behaviour from the aforementioned perspectives, defining in most of the cases the state of the art in their corresponding field.
Statistical Machine Learning for Human Behaviour Analysis by Thomas Moeslund is 300 pages long, and a total of 75,000 words.
This makes it 101% the length of the average book. It also has 92% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours and 49 minutes to read Statistical Machine Learning for Human Behaviour Analysis aloud.
Statistical Machine Learning for Human Behaviour Analysis 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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