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Advances in Feature Selection for Data and Pattern Recognition

Advances in Feature Selection for Data and Pattern Recognition

autor:
Urszula Stańczyk; Beata Zielosko; Lakhmi C. Jain
 
editor:
Springer International Publishing
 
edição:
1
 
ano de publicação:
2018
 
idioma:
Inglês
 
ISBN:
9783319675886
 
 
formato:
ileio (leitura online e APP)
 

This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances.

The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications. Some of the advances presented focus on theoretical approaches, introducing novel propositions highlighting and discussing properties of objects, and analysing the intricacies of processes and bounds on computational complexity, while others are dedicated to the specific requirements of application domains or the particularities of tasks waiting to be solved or improved.

Divided into four parts – nature and representation of data; ranking and exploration of features; image, shape, motion, and audio detection and recognition; decision support systems, it is of great interest to a large section of researchers including students, professors and practitioners.

Informação indisponível.

Pessoal
Tipo de licença Permissão de impressão
Acesso Perpétuo ilimitado


Leitura online: um utilizador por sessão (sem simultaneidade)
Leitura offline (com a APP): máximo de 2 dispositivos em simultâneo

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