Sentence examples for mean shift and from inspiring English sources

The model is estimated using a sparse penalized regression approach that simultaneously enforces sparsity in mean shift and covariate parameters.

To verify the tracking ability of the proposed tracker, comparative studies of tracking accuracy and speed of the proposed tracker with particle filter, mean shift and PSO are presented.

The optimal values of n¯¯¯X and nCUSUM depend on the ratio between the fixed and variable sampling costs, the range of the mean shift, and the in-control Average Time to Signal.

The proposed approach uses a Markov chain approach to compute the statistical performance, and uses a statistical design model to design DSVSI ¯¯¯X and s charts for detecting the mean shift and variance increase.

A feature selection framework is developed in order to improve the clustering accuracy and reduce computational complexity.1 Several clustering methods such as K-Means, Affinity Propagation, Mean Shift and Spectral Clustering were applied.

The time interval between mean shift and the latest sample point before mean shift.

This chart is able to detect two-sided mean shifts and increasing variance shifts by inspecting the absolute value of sample mean shift.

The standard cumulative sum chart (CUSUM) is widely used for detecting small and moderate process mean shifts, and its optimal detection ability for any pre-specified mean shift has been demonstrated by its equivalence to continuous sequential tests.

Therefore, the third measure aims to remove the mean shifting and contrast stretching in the manner shown in [22].

Erreur relative globale adimensionnelle de synthése (ERGAS) index, whose English translation is relative dimensionless global error in fusion [111], is a global quality index sensitive to mean shifting and dynamic range change [112].

Table 3 Recall and Precision and measure of standard mean shift tracking and GMM-SAMT.