Book Name: Machine Learning for Audio, Image and Video Analysis, 2nd edition
Author: Alessandro Vinciarelli, Francesco Camastra
File size: 11.12 MB
File format: PDF
Machine Learning for Audio, Image and Video Analysis, 2nd edition Pdf Book Description:
This second edition focuses on sound, video and image information, the 3 chief kinds of input that machines cope with when interacting with the actual world. A set of appendices gives the reader with self improvement openings into the mathematical background required to read the publication.
Divided into three chief components, From Perception to Computation presents modalities aimed at representing the information in forms acceptable for computer processing, particularly when it has to do with images and audio. Whilst the next component, Machine Learning comprises a comprehensive summary of statistical techniques directed at addressing three chief issues, namely classification (automatically assigning a data sample into one of those categories belonging to a predefined group ), clustering (automatically group data samples based on the similarity of the possessions ) and sequence evaluation (mechanically mapping a sequence of observations to some succession of human-understandable symbols).
The next part Software shows how the abstract issues defined in the next part underlie technologies able to execute complicated tasks like the recognition of hand gestures or the transcription of handwritten data. Machine Learning for Audio, Image and Video Analysis is acceptable for pupils to acquire a good foundation in machine learning in addition to for professionals to deepen their understanding of their state-of-the-art.
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