EAN: 9781447167341

MACHINE LEARNING FOR AUDIO IMAGE AND VIDEO ANAL...

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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