Sentence examples for pattern recognition architecture from inspiring English sources

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A comparison with traditional neural networks reveals that the performance of the proposed context-based pattern recognition architecture is superior in all cases.

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The underlying complexity of the diagnostic task has justified the high value of sophisticated pattern recognition architectures.

The paper proposes a two-layer pattern recognition system architecture for asthma wheezing detection in recorded children's respiratory sounds.

Because the task to compute the 16PF traits' scores from the AU activity map is a pattern recognition task and the architecture employed is bottom-up with no feedback loops, we use FFNNs which have been proven effective for pattern recognition [61].

The paper entitled "Hardware architecture for pattern recognition in gamma-ray experiment" by S. Khatchadourian et al. presents an intelligent way of triggering data in the HESS (high energy stereoscopic system) phase II experiment.

To implement the crossbar circuit of pattern recognition, we can consider the other architecture different from the complementary one in Fig. 2a. Figure 2b shows the twin crossbar architecture with two identical M+ arrays of binary memristors [10].

Image and Pattern Recognition: Compression, Image processing, Signal Processing Architectures, Signal Processing for Communication, Signal Processing Implementation, Speech Compression, and Video Coding Architectures.

This architecture implies this protein might provide a unique tool for further investigations into the relationships between architecture and function of pattern recognition proteins.

Out of 60 different network architecture, In-trigram based pattern recognition network with 20 neurons produced outstanding performance with 85.72% accuracy.

A training method which can be used for any neural network architecture meant for visual pattern recognition under transfer learning.

In this paper, we present a novel training algorithm which can avoid complete retraining of any neural network architecture meant for visual pattern recognition.

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