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Analysis of HMAX Algorithm on Black Bar Image Dataset
An accurate detection and classification of scenes and objects is essential for interacting with the world, both for living beings and for artificial systems. To reproduce this ability, which is so effective in the animal world, numerous computational models have been proposed, frequently based on bioinspired, computational structures. Among these, Hierarchical Max-pooling (HMAX) is probably one of the most important models. HMAX is a recognition model, mimicking the structures and functions ofdoi:10.3390/electronics9040567 fatcat:t7vlckqixzb4zbfyy52ds6wa3a