Sentence examples for semantic topics from inspiring English sources

In this way, semantic topics generate tags or classes for images with each defining a prior distribution in visual topic space.

We develop a topic-driven initialization scheme, so that each learned relation type can be interpreted as a representative of semantic topics of the objects.

We propose a retrieval method based on a bag-of-visual-words (BoVW) to identify discriminative characteristics between different medical images with Pruned Dictionary based on Latent Semantic Topic description.

'IXN' and 'TOPIC' mean semantic and topic features, respectively.

Along with semantic features, topic features are newly added to address the Triage problem.

> -wrap-foot> The proposed method in the Triage task includes new feature types: semantic and topic features.

> -wrap-foot> Tables 3 and 4 show the average precision changes when semantic and topic features are added to word features.

Experimental analysis on building a topic ontology and semantic retrieving corresponding topic ontology for the user's query demonstrating the effectiveness of the proposed approach.

"We're using a non-semantic neural topic modeling approach with a heuristic function for hierarchy building," says Schjøll Brede.

We compare three variants of the semantic scan: static (topics are learned from historical data and do not change from day to day), dynamic (topics are recalculated each day using the most recent two weeks of data) and incremental (not only using the static topics but also learning additional 'emerging' topics that differ substantially from the static topics).

The visible variables represent visual word count extracted from the given image collection, and the hidden variables capture the semantic structures (latent topics) embedded in these visual words.