A Novel Feature Selection Approach-Based Sampling Theory on Grapevine Images Using Convolutional Neural Networks
Öznur Özaltın,
Nursel Koyuncu
Abstract:Feature selection, reducing number of input variables to develop classification model, is an important process to reduce computational and modeling complexity and affects the performance of image process. In this paper, we have proposed new statistical approaches for feature selection based on sample selection. We have applied our new approaches to grapevine leaves data that possess properties of shape, thickness, featheriness, and slickness that are investigated in images. To analyze such kind of data by usin… Show more
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