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Previous works on outdoor traffic sign recognition and classification have been demonstrated useful to the driver assistant system and the possibility to the autonomous vehicles. This motivates our research on the assistance for visual impairment or visual disabled pedestrians in the indoor environment. In this paper, we build an indoor sign database and investigate the recognition and classification...
The invention of deep belief network (DBN) provides a powerful tool for data modeling. The key advantage of DBN is that it is driven by training data only, which can alleviate researchers from the routine of devising explicit models or features for data with complicated distributions. However, as the dimensionality and quantity of data increase, the computing load of training a DBN increases rapidly...
In this paper, an incremental spam images filtering (ISIF) approach based on visual similarity is proposed as one solution to two important realistic problems not dealt well by the existing spam image filtering techniques. One problem is how to update a model efficiently. Another is how to deal with the lack of normal email images. The basic idea of the ISIF approach is to incrementally learn what...
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