Sentence examples for recognition aiming from inspiring English sources

To demonstrate the effectiveness of the proposed implementations, we will illustrate its application on problems of image and video denoising and on a problem of feature recognition aiming at crack detection of railway components.

Intra-pulse modulation recognition aiming at recognizing the intentional intra-pulse modulation type of radar signals plays a critical role in modern intercept receivers, which could be used to recognize the signal threat level and choose the optimal algorithm to estimate parameters of the detected signal [1].

This survey discusses clear motivations and advantages of multi-sensor data fusion and particularly focuses on physical activity recognition, aiming at providing a systematic categorization and common comparison framework of the literature, by identifying distinctive properties and parameters affecting data fusion design choices at different levels (data, feature, and decision).

The new Nintendo DS system moves beyond its current Game Boy player to incorporate two standard-shaped video screens, to add voice recognition aimed at allowing players to instruct characters how to move, and to include networking so that players will be able to use WiFi hotspots to engage in remote Internet play.

Protein name recognition aims to detect each and every protein names appearing in a PubMed abstract.

In both approaches the recognition aims to find a sequence of the models providing the optimal description of the input signal.

Vessel recognition aims at revealing the accurate identity of a vessel by analyzing an unseen example image of it and finding out the matching vessel within a group of vessels.

Entity Recognition and Linking Given a piece of text and a knowledge base, the task of entity recognition aims to recognize the boundary of entity mentions in the text, and the task of entity linking is to map the entity mentions to the corresponding entities in the knowledge base.

We present a novel gender recognition algorithm, a modular eye centre localisation approach and a gaze gesture recognition method, aiming to escalate the intelligence, adaptability and interactivity of HCI systems by combining demographic data (gender) and behavioural data (gaze) to enable development of a range of real-world assistive-technology applications.

Among all the subtasks NLP introduces, named entity recognition (NER)—aiming to identify objects of particular semantic value (e.g. chemical compounds)—is one of the most fundamental for higher level event-focused analyses.

The San Mateo, Calif.-based company started life in 2004 as a facial-recognition software, aiming to help users sort and tag their photos.