Sentence examples for embedding spaces from inspiring English sources

We construct multiple binary embedding spaces by utilizing eigenvectors obtained from spectral hashing, so we call this approach as multiple spectral hashing (MSH).

Furthermore, the co-occurring OOV concepts can be easily represented in the learnt concept embedding space.

Let us denote by g 2 ̂ the continuation of g2 to the embedding space C m × m × m × k.

It utilizes the sparse coefficients of affine subspace to construct a similarity graph and preserves this sparse similarity in embedding space.

This suggests that an embedding space larger than M=216 should be used to increase the robustness in a realistic scenario including compression after the collusion attack.

By means of pattern aggregation and probabilistic topic models, our Siamese architecture captures contextualized semantics from the co-occurring descriptive terms via unsupervised learning, which leads to a concept embedding space of the terms in context.

Working in embedding space has two advantages: first it is close to the group theoretical language and second the equations are obtained in an easier way than they might be found in de Sitter intrinsic space.

Specifically, the proposed method utilizes a skip-gram based language model [55] which learns semantically meaningful vector representations of the words as to map the source and target labels into a word embedding space.

This limitation can be addressed by embedding compounds in Euclidean space and building for them a spatial index using induced vectors in embedding space.

The resulting induced vector is then used in an index-assisted nearest neighbor search of the embedding space to retrieve a candidate set consisting of γ · k vectors that are most similar to it.

Finally, the embedding space of neurons for axon growth and synaptogenesis of our model was fixed during development, while internal volume changes through neurite growth and external mechanical factors could change the location of neurons and influence their synapse formation probabilities.