Mar 28, 2022 · We propose a novel framework that combines optimized Gaussian mixture model (GMM) rules and global tracking graph (GTG) for effective feature ...

Mar 28, 2022 · For feature extraction, our method simply requires the user to label a feature on two slices in the time-varying data, and then, it generates a ...

Using optimized gaussian mixture model rules and global tracking graph for feature extraction and tracking in time-varying data.

Using optimized gaussian mixture model rules and global tracking graph for feature extraction and tracking in time-varying data · GRay: Ray Casting for ...

In this paper, we proposed a semiautomatic Gaussian mixture model-based target feature extraction and visualization method.

... feature selection. ... Using optimized gaussian mixture model rules and global tracking graph for feature extraction and tracking in time-varying data.

A novel volume exploration scheme that explores volumetric structures in the feature space by modeling the space using the Gaussian mixture model (GMM) and ...

Missing: rules | Show results with:rules

Using optimized gaussian mixture model rules and global tracking graph for feature extraction and tracking in time-varying data. Ji Ma; Jinjin Chen; Chang Yang.

Structure learning algorithms for graphical models have focused almost exclu- sively on stable environments in which the underlying generative process does ...