Semisupervised Multitask Learning

  title={Semisupervised Multitask Learning},
  author={Qiuhua Liu and Xuejun Liao and Hui Li and Jason R. Stack and Lawrence Carin},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
Context plays an important role when performing classification, and in this paper we examine context from two perspectives. First, the classification of items within a single task is placed within the context of distinct concurrent or previous classification tasks (multiple distinct data collections). This is referred to as multi-task learning (MTL), and is implemented here in a statistical manner, using a simplified form of the Dirichlet process. In addition, when performing many… CONTINUE READING
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Multi- Task Learning for Underwater Object Classification,

  • J. R. Stack, F. Crosby, R. J. McDonald, Y. Xue, L. Carin
  • Proc. SPIE Defense and Security Symp.,
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