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РецензированоEN2005

Machine learning in computer vision

N. Sebe · Ira Cohen · Ashutosh Garg

Учебная литература · 2005

Аннотация

This book comes right on time. The general trend is easy to see. The methods of computation went from dedicated to one specific task to more generally applicable building blocks, from detailed attention to one aspect like filtering xii FOREWORD to a broad variety of topics, from a detailed model design evaluated against a few data to abstract rules tuned to a robust application. From the source to consumption, images are now all digital. Very soon, archives will be overflowing. This is slightly worrying as it will raise the level of expectations about the accessibility of the pictorial content to a level compatible with what humans can achieve. There is only one realistic chance to respond.

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«This book comes right on time. The general trend is easy to see. The methods of computation went from dedicated to one specific task to more generally applicable building blocks, from detailed attention to one aspect…»

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This book comes right on time. The general trend is easy to see. The methods of computation went from dedicated to one specific task to more generally applicable building blocks, from detailed attention to one aspect… Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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