Genetic Programming for Image Classification

An Automated Approach to Feature Learning

Häftad, Engelska, 2022

AvYing Bi,Bing Xue,Mengjie Zhang

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This book offers several new GP approaches to feature learning for image classification. This book shows how different techniques, e.g., image operators, ensembles, and surrogate, are proposed and employed to improve the accuracy and/or computational efficiency of GP for image classification.

Produktinformation

Utgivningsdatum2022-02-10
Mått155 x 235 x 16 mm
Vikt441 g
FormatHäftad
SpråkEngelska
SerieAdaptation, Learning, and Optimization
Antal sidor258
Upplaga22001
FörlagSpringer Nature Switzerland AG
ISBN9783030659295

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Artificiell intelligens inom Data och it

Computer Vision and Machine Learning.- Evolutionary Computation and Genetic Programming.- Multi-Layer Representation for Binary Image Classification.- Evolutionary Deep Learning Using GP with Convolution Operators.- GP with Image Descriptors for Learning Global and Local Features.- GP with Image-Related Operators for Feature Learning.- GP for Simultaneous Feature Learning and Ensemble Learning.- Random Forest-Assisted GP for Feature Learning.- Conclusions and Future Directions.