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Auto-detecting groups based on textual similarity for group recommendations
It is also important to consider the similarity of characteristics among the members of a group to generate a better recommendation.
EaZy Learning: An Adaptive Variant of Ensemble Learning for Fingerprint Liveness Detection
EaZy learning is similar to ensemble learning as it generates an ensemble of base classifiers and integrates them to make a prediction.
AILearn: An Adaptive Incremental Learning Model for Spoof Fingerprint Detection
AILearn is an adaptive incremental learning model which adapts to the features of the ``live'' and ``spoof'' fingerprint images and efficiently recognizes the new spoof fingerprints as well as the known spoof fingerprints when the new data is available.
EILearn: Learning Incrementally Using Previous Knowledge Obtained From an Ensemble of Classifiers
In incremental learning, the general convention is to use only the knowledge acquired in the previous phase but not the previously seen data.
Structuring an unordered text document
Segmenting an unordered text document into different sections is a very useful task in many text processing applications like multiple document summarization, question answering, etc.
