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This paper presents how hardware-based machine learning models can be design for the task of object recognition. The process is composed of automatic representation of objects as covariance matrices follow by a machine learning detector based on random forest (RF) that operate in online mode. First, in more general terms, the problems of in-accuracy, limited precision, and robustness are treated....
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