Sentence examples for models which characterizes from inspiring English sources

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This method applies the framework of energy minimization to active models which characterizes structural and regional features of a human object such as edge, shape, color as well as texture, and hence, adapts dynamically the changes of non-rigid human objects in the consecutive video frames.

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This necessitates the development of purely phenomenological models which characterize these nonlinearities in a way which is sufficiently accurate, robust, amenable to control design for nonlinearity compensation and efficient enough for use in real-time applications.

For the calculations regarding spatial distribution of link qualities in section 6, we will use large-scale propagation models, which characterize signal strength over transmission distances from 2 to 100 m [28].

The potential consequences of the various different management alternatives are expressed with predictive models, which characterize resource changes over time in response to fluctuating environmental conditions and management actions.

We use an active model which characterizes regional and structural features of a target object such as shape, texture, color, and edgeness.

The computational model of the proposed approach is based on a dynamic Markov network, a generative model which characterizes the dynamics, the image observations of each individual limb, as well as the spatial coherence among them.

The fluid behaviour beyond the free end of the shell is described by an outflow model, which characterizes the fluid boundary condition at the free end of the shell.

It is the classic Phillips-Heffron model, which characterizes the SG dynamics with inertia, synchronizing and damping coefficients [13, 14].

Figure 3 shows the discrete time Markov chain (DTMC) model which characterizes the backoff procedure of the SB-MAC for a given contention window size W.

We have developed a model which characterizes compensation in preclinical HD using functional MRI, volumetric disease load and task performance.

As a result, we learnt the parameters of our action model which characterize the pose variability observed within a set of walking performances used for training.

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