Local, Mid-Level and Convolutional Features Fusion Using Multiple Kernel Learning for Image Classification
Yao Lu, Hui Zhang, Bojun Xie · 2019
Feature representation and feature fusion are important factors in image classification problem. In this paper, the local features, mid-level features and convolutional features are combined using the multiple kernel learning method. Experimental results show that the local features, mid-level features and convolutional features can be fused effectively to improve the classification performance about 4%-6% on several popular benchmarks.