Sentence examples for embedded recognition from inspiring English sources

Lei et al. [35] applied these optimizations along with frame skipping [36], which computes posteriors every nth frame and reuses them for n consecutive frames, to a small DNN for embedded recognition that ran in real-time with large accuracy improvements over a GMM acoustic model but still had a small footprint.

However, it may not be possible to realize a large enough reduction in parameters to shrink a large DNN designed to run on a server down to the size required for embedded recognition on a device using SVD restructuring without an appreciable loss in accuracy.

At present, embedding recognition of progress is not a commonly used scaffolding strategy.

The fourth strategy that provides and promotes informational feedback is embedding recognition of progress, not just normative success.

We are testing augmented reality glasses with embedded facial recognition capabilities together with Ntechlab company, which is known for creating the facial recognition tool FindFace". FindFace is a highly accurate facial recognition engine, the standout in a country known for its prowess in the space.

In addition, we utilized the NVIDIA GPU (Graphics Processing Unit) to accelerate the new immune convolutional neural network (ICNN) in parallel computing and built a real-time embedded image recognition system for this ICNN.

In addition to that, Snips is adding new languages to its embedded voice recognition platform.

However, embedded speech recognition only authorizes few KB of memory, few MIPS, and small amount of training data.

The performance and acoustic adaptation of the proposed approaches are investigated in various conditions within the general scheme of embedded speech recognition systems.

Keen's broader message is that the quest to embed a recognition that sport is as worthy of public funding as culture and the arts is only partially complete, and that momentum must be maintained beyond London.

There are several works in the literature embedding face recognition in mobile environments [4, 29, 30].