Active Learning for Solving the Incomplete Data Problem in Facial Age Classification by the Furthest Nearest-Neighbor Criterion

@article{Wang2011ActiveLF,
  title={Active Learning for Solving the Incomplete Data Problem in Facial Age Classification by the Furthest Nearest-Neighbor Criterion},
  author={Jian-Gang Wang and Eric Sung and Wei-Yun Yau},
  journal={IEEE Transactions on Image Processing},
  year={2011},
  volume={20},
  pages={2049-2062}
}
Facial age classification is an approach to classify face images into one of several predefined age groups. One of the difficulties in applying learning techniques to the age classification problem is the large amount of labeled training data required. Acquiring such training data is very costly in terms of age progress, privacy, human time, and effort. Although unlabeled face images can be obtained easily, it would be expensive to manually label them on a large scale and getting the ground… CONTINUE READING

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