Sentence examples for retrieval I from inspiring English sources

The authors used these techniques for rumour retrieval i.e., identifying tweets spreading misinformation.

In this paper, we propose the concept of "geometry-aware" video retrieval: i.e., finding videos that have the same background/entities for a given query video.

In this work, we propose a novel supervised hashing method for scalable face image retrieval, i.e., Deep Hashing based on Classification and Quantization errors (DHCQ), by simultaneously learning feature representations of images, hash codes and classifiers.

This value is totally dependent on the quality of the performance of the dancer during the retrieval (i.e., recognition) phase in relation to her performance during the modeling phase.

Initially, we questioned whether current state-of-the-art bug localization techniques based on structured information retrieval, i.e., BLUiR, BLUiR+, and AmaLgam, would effectively locate bugs in C# projects.

It has been also shown that these indices can be used for quite accurate image retrieval, i.e., the system provides high precision rates (currently up to 98%) to the user, eliminating troubles encountered in the image retrieval operations due to limitation on the user's age, culture, knowledge, and languages.

Müller, who is six feet four, leaped and got his racket on the ball to send up another lob, one of the more improbable retrievals I've ever seen — followed not too far behind the running, twisting, blind forehand that Nadal used to send it back.

So the study of quantum symmetrically private information retrieval (QSPIR), i.e., quantum private query (QPQ) with an interesting degree of security is desirable.

These very simple search structures aimed above all to minimise the "retrieval bias", i.e. the non-discovery of published literature.

In contrast, a balanced bidirectional flow of the fronto-parietal coupling was observed in the left hemisphere during the encoding condition and in the right hemisphere during the retrieval condition (i.e. hemisphere-condition combination involved by the HERA model).

The reasoning for two separate databases is to evaluate the scalability of the proposed feature synthesis system to more complex and difficult classification and retrieval tasks (i.e., to those cases where good features are truly needed).