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File Format | PDF
File Size | 6.51 MB
Pages | 249
Language | English
Category | Technology
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Description: The goal of this
book is to address the use of several important machine learning techniques
into computer vision applications. An innovative combination of computer vision
and machine learning techniques has the promise of advancing the field of
computer vision, which contributes to better understanding of complex
real-world applications.
The effective
usage of machine learning technology in real-world computer vision problems
requires understanding the domain of application, abstraction of a learning
problem from a given computer vision task, and the selection of appropriate
representations for the learnable (input) and learned (internal) entities of
the system.
In this book, we
address all these important aspects from a new perspective: that the key
element in the current computer revolution is the use of machine learning to
capture the variations in visual appearance, rather than having the designer of
the model accomplish this. As a bonus, models learned from large datasets are
likely to be more robust and more realistic than the brittle all-design models.
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Machine Learning in Computer Vision
Download | Free
