Results 231 to 240 of about 20,937 (267)

Rediscovering lost colors: film color restoration by hyperspectral imaging and cluster-based spectral correction algorithm (CBSCA). [PDF]

RSC Adv
Catelli E, Liu L, Fadanni J, Stergar J, Milanič M, Sciutto G, Zerbetto F, Prati S.   +7 more
europepmc   +1 more source

A WGS workflow for identifying genetically modified and foodborne-pathogenic <i>Bacillus</i> isolates. [PDF]

Food Chem (Oxf)
Godfroid M, Van Uffelen A, Fraiture MA, De Keersmaecker SCJ, Vanneste K, Roosens NHC, Bogaerts B.   +6 more
europepmc   +1 more source

Ratio-Dependent Contrarian Activation in Opinion Dynamics. [PDF]

Entropy (Basel)
Galam S.
europepmc   +1 more source

On the Asymptotic Efficiency of GMM

, 2003
Carrasco, Marine, Florens, Jean-Pierre
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On-Manifold GMM Registration

IEEE Robotics and Automation Letters, 2018
This letter presents a robust Gaussian mixture model registration technique to enable mapping and navigation in dark, complex, unstructured domains such as caves and mines. Subterranean environments are often unmapped and challenged by low-lighting conditions and communication constraints.
Wennie Tabib, Cormac O'Meadhra, Nathan Michael   +2 more
openaire   +1 more source

GMM Quantile Regresson

SSRN Electronic Journal, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Firpo, Sergio, Galvao, Antonio F., Pinto, Cristine, Poirier, Alexandre, Sanroman, Graciela   +4 more
openaire   +1 more source

Comparison of GMM and fuzzy-GMM applied to phoneme classification

2009 3rd International Conference on Signals, Circuits and Systems (SCS), 2009
The increasing need for more natural human machine interfaces has generated intensive research work directed toward designing and implementing natural speech enabled systems. Because it is very hard to constrain a speaker when expressing a voice-based request, speech recognition systems have to be able to handle out of vocabulary words in the users ...
Kacem Abida, Fakhri Karray, Jiping Sun
openaire   +1 more source

Implied Probabilities in GMM Estimators

Econometrica, 1993
The conventional way to estimate a distribution function is to assume it belongs to a class parameterized by a finite-dimensional vector and then estimate the unknown parameter vector. In many cases, e.g., regression models, part of the assumption is of the form: a given function of the data and of the parameter vector has a zero mean.
Back, Kerry, Brown, David P
openaire   +2 more sources