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Efficient Online Relative Comparison Kernel Learning
Learning a kernel matrix from relative comparison human feedback is an important problem with applications in collaborative filtering, object retrieval, and search.
Subspace Tracking under Dynamic Dimensionality for Online Background Subtraction
Long-term modeling of background motion in videos is an important and challenging problem used in numerous applications such as segmentation and event recognition.
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