Sentence examples for recognition and evaluate from inspiring English sources

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They survey the state of the art in the separate fields of machine translation and speech recognition and evaluate the major obstacles to further progress in both fields.

A case study of front-end loader activity recognition is presented to describe the methodology for action recognition and evaluate the performance of the developed system.

Yandex worked with Carnegie Mellon students and Professor Ian Lane to train gesture recognition and evaluate several machine learning techniques, including Neural Networks, Hidden Markov Models and Support Vector Machines — with the latter technique showing accuracy improvements of a fifth vs the other evaluated systems, according to Yandex.

Similar(57)

The fully reproducible system is integrated to two different publicly available iris recognition systems and evaluated on the CASIAv3-Interval and the IITDv1 iris databases.

The proposed method, which is computationally inexpensive compared to SVM, suggests a new classifier for language recognition and is evaluated on the 2009 National Institute of Standards and Technology NISTT) language recognition evaluation (LRE).

Take the time to effectively plan and evaluate performance, provide feedback, recognition and coaching, and develop employees to be their personal best at Duke.

Recognition of recovery and evaluating one's position within the recovery process was something, which was ongoing, but not without obstacles.

It is almost impossible to build an efficient system for human action recognition without fine-tuning and evaluating its performance on a realistic dataset.

These approaches has the potential to provide accurate and early neuropsychiatric recognition, evaluate disease progression, and monitor treatment efficacy [ 68].

In the present study we used two well-characterized memory tasks: Y-maze anovelvel object recognition to evaluate the effect of the HEEC on the scopolamine model of AD in rats.

In this paper, we apply methods from speaking voice emotion recognition to singing voice emotion recognition, evaluate classification performances for the first time, and take an in-depth look at important acoustic features.

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