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Empirical learning aided by weak domain knowledge in the form of feature importance
neural network domain knowledge prior knowledge feature importance
2015/7/15
Standard hybrid learners that use domain knowledge require stronger knowledge that is hard and expensive to acquire. However, weaker domain knowledge can benefit from prior knowledge while being cost ...
Multi-task learning is the problem of maxi-mizing the performance of a system across a number of related tasks. When applied to mul-tiple domains for the same task, it is similar to domain adaptation,...
Fast Normalized Neural Processors for Pattern Detection Based on Cross Correlation Implemented in the Frequency Domain
Fast Pattern Detection Neural Networks Cross Correlation Image Normalization
2014/3/12
Neural networks have shown good results for detecting a certain pattern in a given image. In this paper, fast neural networks for pattern detection are presented. Such neural processors are designed b...