SVM Binary Classifier Ensembles for Image Classification

  title={SVM Binary Classifier Ensembles for Image Classification},
  author={Kingshy Goh and Edward Y. Chang and Kwang-Ting Cheng},
We study how the SVM-based binary classifiers can be effectively combined to tackle the multi-class image classification problem. We study several ensemble schemes, including OPC (one per class), PWC (pairwise coupling), and ECOC (error-correction output coding), that aim to achieve good error correction capability through redundancy. To enhance these ensemble schemes' accuracy, we propose methods that on the one hand boost the margins (i.e., confidence) of the SVM-based binary classifiers, and… CONTINUE READING
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