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In multi-task learning, it is paramount to discover the relational structure of tasks and utilize the learned task structure. Previous works have been using the low-rank latent feature subspace to capture the task relations, and some of them aim to learn the group based relational structure of tasks. However, in many cases, the low-rank subspace may not exist for the specific group of tasks, thus...
Because manual image annotation is both expensive and labor intensive, in practice we often do not have sufficient labeled images to train an effective classifier for the new image classification tasks. Although multiple labeled image data sets are publicly available for a number of computer vision tasks, a simple mixture of them cannot achieve good performance due to the heterogeneous properties...
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