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The role of variability in the property listing task
(Springer, 2018-06)
It is generally believed that concepts can be characterized by their properties (or features). When investigating concepts encoded in language, researchers often ask subjects to produce lists of properties that describe ...
Core features: measures and characterization for different languages
(Springer, 2020-04)
According to the feature-based view of semantic representation, concepts can be represented as distributed networks of semantic features, which contribute with different weights to determine the overall meaning of a concept. ...
The role of variability in the property listing task
(2018)
It is generally believed that concepts can be characterized by their properties (or features). When investigating concepts encoded in language, researchers often ask subjects to produce lists of properties that describe ...
Unsupervised selective rank fusion for image retrieval tasks
(2020-02-15)
Several visual features have been developed for content-based image retrieval in the last decades, including global, local and deep learning-based approaches. However, despite the huge advances in features development and ...
A denoising convolutional neural network for self-supervised rank effectiveness estimation on image retrieval
(2021-08-24)
Image and multimedia retrieval has established as a prominent task in an increasingly digital and visual world. Mainly supported by decades of development on hand-crafted features and the success of deep learning techniques, ...
Classification of authors for an automatic recommendation process for criminal responsibility
(Corporación Universidad de la Costa, 2021)
Unsupervised similarity learning through cartesian product of ranking references for image retrieval tasks
(2017-01-10)
Despite the consistent advances in visual features and other Content-Based Image Retrieval techniques, measuring the similarity among images is still a challenging task for effective image retrieval. In this scenario, ...
Unsupervised Similarity Learning through Cartesian Product of Ranking References for Image Retrieval Tasks
(Ieee, 2016-01-01)
Despite the consistent advances in visual features and other Content-Based Image Retrieval techniques, measuring the similarity among images is still a challenging task for effective image retrieval. In this scenario, ...