236 search results - page 23 / 48 » Mixture models for analysis of melting temperature data |
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
ECML
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. We study discriminative joint density models, that is, generative models for the joint density p(c, x) learned by maximizing a discriminative cost function, the condition...
CANDC
2000
ACM
14 years 9 months ago
2000
ACM
A new statistical model for DNA considers a sequence to be a mixture of regions with little structure and regions that are approximate repeats of other subsequences, i.e. instance...
ICCV
2009
IEEE
14 years 7 months ago
2009
IEEE
Many segmentation problems in medical imaging rely on accurate modeling and estimation of tissue intensity probability density functions. Gaussian mixture modeling, currently the ...
ICDM
2006
IEEE
15 years 3 months ago
2006
IEEE
Data stream values are often associated with multiple aspects. For example, each value from environmental sensors may have an associated type (e.g., temperature, humidity, etc) as...