A C-HMM, with Gaussian mixed models to describe the probability distribution, is proposed to classify fault severities in bearings such as healthy stage, early fault stage, degraded stage and failure stage. Then, one C-HMM is proposed for each state and the maximum value of the log-...
However there has not been a systematic way to characterize the extent of departure from a Gaussian process. We address this topic here by proposing a noisy-Laplacian distribution to model response histograms derived from digital (or digitized) mammograms. We describe the distribution in terms of ...
Indeed, because of this property, RBF (Gaussian) kernel is proven to be always nonsingular, regardless of the value of the parameter σ2, as long as the samples are all distinct [23]. As for the sinc kernel, a more intuitive analysis is possible. We notice that the Gram matrix K ...
(beyond to the density of small eigenvalues of the Laplacian), for instance, to the infrared singular- ity of the Gaussian process, or to the (graph average) of the long-time tail of the random walk return probability; it also provides a consistent criterion on whether a continuous symmetry...
①Preprocessing the data extracted from the backbone so that it fits a particular distribution (i.e. Gaussian-like). 预处理提取的特征使其服从一定的分布。 ②Leveraging this specific distribution thanks to a well-thought proposed algorithm based on maximum a posteriori and optimal transport. 基于 最...
Laplacian of GaussianDecoupled marginal distributionsTexture classification1st Chinese Conference on Computer Vision, CCCV 2015, 18-20 September 2015doi:10.1007/978-3-662-48558-3_42Wufeng XueXuanqin MouLei ZhangSpringer Berlin HeidelbergCCF Chinese Conference on Computer Vision...
PURPOSE: An improved ulta-wide bandwidth (UWB) receiving method employing generalized Gaussian-Laplacian (GGL) distribution model in an ultra-wide bandwidth multi-user interference (UWB-MUI) system is provided to detect a desired signal by a GGL-KM UWB receiver that uses a probability distribution...
However there has not been a systematic way to characterize the extent of departure from a Gaussian process. We address this topic here by proposing a noisy-Laplacian distribution to model response histograms derived from digital (or digitized) mammograms. We describe the distribution in terms of ...
For example, an effective classical method, iClus- ter [5], builds a Gaussian latent variable model and its modified version, iClusterPlus [6], considers different variable types following different linear probabilistic relationships to build a regression model. Both of them achieve a low-...
The influence of similar tolerance and data length on TSMFE are investigated by analyzing Gaussian white noise and 1/f noise signals. The results indicate that compared with TSME, TSMFE obviously expresses more anti-noise property, more stable entropies even in shorter time series and slight ...