Sentence examples for sharing of representations from inspiring English sources

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Not only is the sharing of representations among multiple client product representations itself, but also the explicit knowledge about being shared a great advantage in preserving integrity on schema level.

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From data perspective, this has led to emergence of extensive amounts of human-generated data [4, 5] with diverse social uses and rich meanings (for example, communication text, videos for entertainment and self-representation, sharing of news and other 3rd party content in social media).

A set of common bases were shared for representation of speech samples across HMM states, while a set of individual bases were employed to represent speech samples within individual HMM states.

Women's share of representation was 11% in 1975, and is now up to 19%.

Rural voters in Japan enjoy a vastly disproportionate share of representation — the LDP sees to that by blocking any redistribution of seats in favor of the cities.

That lower threshold is what allows minority voices to reliably earn their fair share of representation.

We show that FuseNet's high performance is attributed to the ability to model non-Gaussian distributions and fusion of data through sharing of latent representations.

Methods of sharing virtual product representations over the web and a number of CAD-integrated shared workspaces have been presented in the scientific literature for distributed design review (Hou et al., 2008; Hren and Jezernik, 2009).

For example, sharing the representation of identical products, the level of product representation is most adequate (Fig. 5b).

Although no consensus exists, a number of researchers have proposed that shared representations of motor actions, or the action understanding properties of this system, may form a foundational cornerstone for higher order social processes, including motor learning, action understanding, imitation, perspective taking, understanding facial emotions, and empathy [ 4- 8].

In this view, neurons become capable of sharing representations primarily through an associative learning mechanism.

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