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154
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ICIP
1999
IEEE
16 years 8 months ago
Uncertainties in Bayesian Geometric Models
Deformable geometric models fit very naturally into the context of Bayesian analysis. The prior probability of boundary shapes is taken to proportional to the negative exponential...
Kenneth M. Hanson, Gregory S. Cunningham, Robert J...
ICIP
2009
IEEE
16 years 8 months ago
Lidar Waveform Modeling Using A Marked Point Process
Lidar waveforms are 1D signal consisting of a train of echoes where each of them correspond to a scattering target of the Earth surface. Modeling these echoes with the appropriate...
RECOMB
2006
Springer
16 years 7 months ago
A Probabilistic Model for Gene Content Evolution with Duplication, Loss, and Horizontal Transfer
We introduce a Markov model for the evolution of a gene family along a phylogeny. The model includes parameters for the rates of horizontal gene transfer, gene duplication, and gen...
István Miklós, Miklós Csü...
185
Voted
ICASSP
2009
IEEE
16 years 1 months ago
Speech emotion recognition via a max-margin framework incorporating a loss function based on the Watson and Tellegen's emotion m
This paper considers a method for speech emotion recognition by a max-margin framework incorporating a loss function based on a well-known model called the Watson and Tellegen’s...
Sungrack Yun, Chang D. Yoo
184
Voted
IEEEICCI
2006
IEEE
16 years 27 days ago
SenseNet: A Knowledge Representation Model for Computational Semantics
Knowledge representation is essential for semantics modeling and intelligent information processing. For decades researchers have proposed many knowledge representation techniques...
Ping Chen, Wei Ding 0003, Chengmin Ding