Efficient Dimensionality Reduction Using Random Projection

  title={Efficient Dimensionality Reduction Using Random Projection},
  author={Vildana Suli{\'c} and Janez Pers and Matej Kristan and Stanislav Kovacic},
Dimensionality reduction techniques are especially important in the context of embedded vision systems. A promising dimensionality reduction method for a use in such systems is the random projection. In this paper we explore the performance of the random projection method, which can be easily used in embedded cameras. Random projection is compared to Principal Component Analysis in the terms of recognition efficiency on the COIL-20 image data set. Results show surprisingly good performance of… CONTINUE READING


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