Large-scale Dictionary Learning For Local Coordinate Coding

  title={Large-scale Dictionary Learning For Local Coordinate Coding},
  author={Bo Xie and Mingli Song and Dacheng Tao},
Dictionary learning is a method to learn dictionary items adapted to data of a given distribution. It is shown that dictionary learned from data is more suited for vision task than universal dictionaries [4]. Traditionally, Vector Quantization (VQ), or using k-means to learn data cluster centroids, is a simple and popular method in the bag-of-features framework [5]. Recently, sparse coding is used in visual dictionary learning and achieves lower reconstruction error [6]. To capture manifold… CONTINUE READING
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