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ICASSP
2011
IEEE
14 years 11 months ago
Structured precision modelling with Cholesky Basis Superposition for speech recognition
Structured precision modelling is an important approach to improve the intra-frame correlation modelling of the standard HMM, where Gaussian mixture model with diagonal covariance...
Lei Jia, Kai Yu, Bo Xu
ICML
2001
IEEE
16 years 8 months ago
Learning Probabilistic Models of Relational Structure
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
MOBICOM
2004
ACM
16 years 20 days ago
A structured group mobility model for the simulation of mobile ad hoc networks
Realistic models for node movement are essential in simulating mobile ad hoc networks. Many MANET scenarios are most realistically represented using group movement, but existing g...
Ken Blakely, Bruce Lowekamp
IDA
2006
Springer
15 years 7 months ago
Structural hidden Markov models: An application to handwritten numeral recognition
We introduce in this paper a generalization of the widely used hidden Markov models (HMM's), which we name "structural hidden Markov models" (SHMM). Our approach is ...
Djamel Bouchaffra, Jun Tan
182
Voted
JMLR
2002
138views more  JMLR 2002»
15 years 7 months ago
Learning Probabilistic Models of Link Structure
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...