• Modeling Rich Structured Data via Kernel Distribution Embeddings 

      Song, Le (Georgia Institute of Technology, 2011-03-25)
      Real world applications often produce a large volume of highly uncertain and complex data. Many of them have rich microscopic structures where each variable can take values on manifolds (e.g., camera rotations), combinatorial ...