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Machine Learning for Audio, Image and Video Analysis - Theory and Applications (Hardcover, 2nd ed. 2015)
Loot Price: R3,420
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Machine Learning for Audio, Image and Video Analysis - Theory and Applications (Hardcover, 2nd ed. 2015)
Series: Advanced Information and Knowledge Processing
Expected to ship within 12 - 19 working days
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This second edition focuses on audio, image and video data, the
three main types of input that machines deal with when interacting
with the real world. A set of appendices provides the reader with
self-contained introductions to the mathematical background
necessary to read the book. Divided into three main parts, From
Perception to Computation introduces methodologies aimed at
representing the data in forms suitable for computer processing,
especially when it comes to audio and images. Whilst the second
part, Machine Learning includes an extensive overview of
statistical techniques aimed at addressing three main problems,
namely classification (automatically assigning a data sample to one
of the classes belonging to a predefined set), clustering
(automatically grouping data samples according to the similarity of
their properties) and sequence analysis (automatically mapping a
sequence of observations into a sequence of human-understandable
symbols). The third part Applications shows how the abstract
problems defined in the second part underlie technologies capable
to perform complex tasks such as the recognition of hand gestures
or the transcription of handwritten data. Machine Learning for
Audio, Image and Video Analysis is suitable for students to acquire
a solid background in machine learning as well as for practitioners
to deepen their knowledge of the state-of-the-art. All application
chapters are based on publicly available data and free software
packages, thus allowing readers to replicate the experiments.
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