A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving

@article{Xu2007AUP,
  title={A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving},
  author={Lei Xu},
  journal={Pattern Recognition},
  year={2007},
  volume={40},
  pages={2129-2153}
}
On one hand, multiple object detection approaches of Hough transform (HT) type and randomized HT type have been extended into an evidence accumulation featured general framework for problem solving, with five key mechanisms elaborated and several extensions of HT and RHT presented. On the other hand, another framework is proposed to integrate typical multi-learner based approaches for problem solving, particularly on Gaussian mixture based data clustering and local subspace learning, multi-sets… CONTINUE READING

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