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Many previous works have shown that subspace methods are very effective in pattern recognition task.
"Machine translation is much more complex than a pure pattern recognition task," said Ming Zhou, assistant managing director of Microsoft Research Asia and head of a natural language processing group that worked on the project.
Multi-object recognition is a spatial pattern recognition task, so we reduction the temporal module of hierarchical temporal memory network and strengthen the spatial module.
Furthermore, a dot pattern recognition task is successfully performed by the implemented network considering effects such as offset charges and co-tunnelling.
Then, in LeCun et al., the design and implementation is based on the error gradient algorithm training in the convolutional neural network [87, 88], and in some pattern recognition task set, the leading performance is relative to the other methods.
The i-vector Challenges transform the speaker and language recognition tasks in a pattern recognition task (only i-vectors and no speech are provided) for which specific knowledge of speech processing is not required.
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This is a common assumption in most supervised pattern recognition tasks.
Finite mixture models have been applied for different computer vision, image processing and pattern recognition tasks.
Gabor features are known to perform well in face recognition and pattern recognition tasks in general [36]- [38].
However, these approaches often suffer from the small sample size problem (SSS) that exists in high-dimensional pattern recognition tasks.
As a result, the BCM neural network has been successfully applied to some specific pattern recognition tasks.
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