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Chapter and Conference Paper
Classifier Ensemble Using a Heuristic Learning with Sparsity and Diversity
Classifier ensemble has been intensively studied with the aim of overcoming the limitations of individual classifier components in two prevalent directions, i.e., to diversely generate classifier components, a...
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Chapter and Conference Paper
Pedestrian Analysis and Counting System with Videos
Reliable estimation of number of pedestrians has played an important role in the management of public places. However, how to accurately count pedestrians with abnormal behavior noises is one challenge in such...
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Article
FMI image based rock structure classification using classifier combination
Formation Micro Imager (FMI) can directly reflect changes of wall stratums and rock structures, and is an important factor to classify stratums and identify lithology for the oil and gas exploration. Conventio...
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Article
Exchange rate prediction with non-numerical information
Exchange rate prediction is an important yet challenging problem in financial time series analysis. Although the historical exchange rates can provide valuable information, other factors will also affect the p...