Sentence examples for appearance patterns from inspiring English sources

CNN is a recently popular method which utilizes image appearance patterns for classification.

The appearance features and relationship features are both extracted to capture the appearance patterns in structural MR images and also the connectivity patterns in rs-fMRI, respectively.

A simple descriptor vector per each frame is considered and video is clustered by looking at co-occurrences of motion and appearance patterns.

This technique uses deep artificial neural networks to learn the image appearance patterns of interested objects based on a large training data set.

In background modeling and motion detection module, they employ an adaptive model for background estimation applying mixture of Gaussians and appearance patterns, thereby presenting a stable and robust background model.

In addition, to keep up with the changing human motion and appearance patterns, the proposed method continuously updates the learned parameters during the human tracking across non-overlapping cameras.

CNN utilizes the image appearance pattern around the lymph node.

The appearance pattern includes information of local contrast, nearby tissues, boundary sharpness, and etc.

To illustrate the discriminative power of the image appearance pattern, we extracted the intermediate feature vector produced by the internal flattening layer of the CNN.

Therefore, the image appearance pattern can be a promising substitute for the texture features, as well as a good compensation to the diagnostic features.

The appearance pattern of a primary signal in terms of mean busy and idle periods, E TBUSY and E TIDLE, is assumed to be known to the secondary network (e.g., by historic measurements).