Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections

Moacir Antonelli Ponti
Moacir Antonelli Ponti
Kaue U Silveira
Kaue U Silveira

Applied Soft Computing, pp. 414-424, 2019.

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Abstract:

Image collections are currently widely available and are being generated in a fast pace due to mobile and accessible equipment. In principle, that is a good scenario taking into account the design of successful visual pattern recognition systems. However, in particular for classification tasks, one may need to choose which examples are mo...More

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