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174
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CVPR
1997
IEEE
16 years 8 months ago
1997
IEEE
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
148
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ICPR
2008
IEEE
16 years 7 months ago
2008
IEEE
We present a hierarchical feature fusion model for image classification that is constructed by an evolutionary learning algorithm. The model has the ability to combine local patch...
154
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ICPR
2004
IEEE
16 years 7 months ago
2004
IEEE
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
167
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
This paper explores in detail the use of Error Correcting Output Coding (ECOC) for learning text classifiers. We show that the accuracy of a Naive Bayes Classifier over text class...
132
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CHI
2008
ACM
16 years 6 months ago
2008
ACM
We propose an e-learning scenario where eye tracking is exploited to get valuable data about user behavior. What we look at -- as well as how we do that -- can in fact be used to ...