Manifold Learning Theory and Applications

@inproceedings{Ma2011ManifoldLT,
  title={Manifold Learning Theory and Applications},
  author={Yunqian Ma and Yun Fu},
  year={2011}
}
  • Yunqian Ma, Yun Fu
  • Published 2011
  • Computer Science
  • Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dimensional structures hidden in their high-dimensional observations. Manifold learning, a groundbreaking technique designed to tackle these issues of dimensionality reduction, finds widespread application in machine learning, neural networks, pattern recognition, image processing, and computer vision. Filling a void in the literature… CONTINUE READING

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