This project endeavors to be a framework for using Graph Transformer Networks (GTNs) to segment variable length data. This project will rely heavily upon Boost Graph Library (BGL) and Fast Artificial Neural Networks (FANN).

Features

  • Reads the format of the MNIST handwritten database. See http://yann.lecun.com/exdb/mnist/ for more information.
  • Transforms a single-source, single-target Graph (vector edge/vertex lists) into the shortest path from source to target.

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Registered

2010-07-29
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