Gossip-Based Greedy Gaussian Mixture Learning

This publication has 13 references indexed in Scilit:

• Gossip algorithms: design, analysis and applications
  2005
• Gossip-based computation of aggregate information
  2004
• Distributed EM algorithms for density estimation and clustering in sensor networks
  IEEE Transactions on Signal Processing, 2003
• Efficient Greedy Learning of Gaussian Mixture Models
  Neural Computation, 2003
• Learning mixtures of Gaussians
  2003
• A Greedy EM Algorithm for Gaussian Mixture Learning
  Neural Processing Letters, 2002
• Shared kernel models for class conditional density estimation
  IEEE Transactions on Neural Networks, 2001
• Distributed data clustering can be efficient and exact
  ACM SIGKDD Explorations Newsletter, 2000
• Finite Mixture Models
  2000
• A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants
  1998