Sentence examples for extracted representations from inspiring English sources

However, they essentially extract fixed representations from pre-divided regions for each image and then perform matching based on these extracted representations.

While Deep Learning aids in providing a semantic and relational understanding of the data, a vector representation (corresponding to the extracted representations) of data instances would provide faster searching and information retrieval.

For example, the extracted representations by Deep Learning can be considered as a practical source of knowledge for decision-making, semantic indexing, information retrieval, and for other purposes in Big Data Analytics, and in addition, simple linear modeling techniques can be considered for Big Data Analytics when complex data is represented in higher forms of abstraction.

In other words, neural activity linked to timing could reflect a process of evidence accumulation for action selection, and not the extracted representation of time per se.

It extracts representations directly from unsupervised data without human interference.

VAEDC can extract representation features of the Pdeath contour with complicated urban geometry in the latent space, and DNN maps the variable space into the latent space for the Pdeath image data.

The extracted data representations have been shown to be effective for retrieving documents, making them very useful for search engines.

Another key area of interest would be to explore the question of what criteria is necessary and should be defined for allowing the extracted data representations to provide useful semantic meaning to the Big Data.

An remaining open question is what criteria is used to define "similar" when trying to extract data representations for indexing purposes (recall, data points that are semantically similar will have similar data representations in a specific distance space).

The ILGA model is able to extract affordance representations from visual object features, learn motor parameters for generating stable grasps, and generalize its learned representations to novel objects.

As an example of this, Google's Word2vec provides an automated means of extracting semantic representations from big data.