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stat.ML2013
A Convergence Theorem for the Graph Shift-type Algorithms
Xuhui Fan, Longbing Cao
Graph Shift (GS) algorithms are recently focused as a promising approach for discovering dense subgraphs in noisy data. However, there are no theoretical foundations for proving th…
stat.ML2013
Characterizing A Database of Sequential Behaviors with Latent Dirichlet Hidden Markov Models
Yin Song, Longbing Cao, Xuhui Fan +2
This paper proposes a generative model, the latent Dirichlet hidden Markov models (LDHMM), for characterizing a database of sequential behaviors (sequences). LDHMMs posit that each…