Listar por autoría "a00b5a69-7a9c-4b9e-938b-1cf3bbb8232f"
Mostrando ítems 1-4 de 4
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A new pedestrian detection descriptor based on the use of spatial recurrences
Springer-Verlag (2011)Recent work on pedestrian detection has relied on the concept of local co-occurences of features to propose higher-order, richer descriptors. While this idea has proven to be benefitial for this detection task, it fails ... -
Analysis of single‑ and dual‑dictionary strategies in pedestrian classification
Springer Verlag (2018)Sparse coding has recently been a hot topic in visual tasks in image processing and computer vision. It has applications and brings benefts in reconstruction-like tasks and in classifcation-like tasks as well. However, ... -
Exploring some practical issues of SVM+: Is really privileged information that helps?
Elsevier (2014)Learning using privileged information (LUPI) is a machine learning paradigm which aims at improving classification by taking advantage of information that is only available at training time —not at test time. SVM+ is an ...
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Spatial recurrences for pedestrian classification
Springer U.S. (2012-09)In this work, a framework is proposed for pedestrian classification based on spatial recurrences in the form of recurrence plots. This representation is more general and potentially more discriminative than a histogram of ...
