LAUSR

End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection

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0 Published in 2018 at "International Journal of Computer Vision"

DOI: 10.1007/s11263-018-1109-z

Abstract: Object detection methods usually represent objects through rectangular bounding boxes from which they extract features, regardless of their actual shapes. In this paper, we apply deformations to regions in order to learn representations better fitted… read more here.

Keywords: object detection; part; end; end learning ... See more keywords

End-to-End Learning of Decision Trees and Forests

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1 Published in 2019 at "International Journal of Computer Vision"

DOI: 10.1007/s11263-019-01237-6

Abstract: Conventional decision trees have a number of favorable properties, including a small computational footprint, interpretability, and the ability to learn from little training data. However, they lack a key quality that has helped fuel the… read more here.

Keywords: decision; trees forests; end learning; decision trees ... See more keywords

End-to-end Learning Of Evolutionary Models To Find Coding Regions In Genome Alignments.

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3 Published in 2022 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btac028

Abstract: MOTIVATION The comparison of genomes using models of molecular evolution is a powerful approach for finding, or towards understanding, functional elements. In particular, comparative genomics is a fundamental building brick in annotating ever larger sets… read more here.

Keywords: end end; coding regions; learning evolutionary; end learning ... See more keywords

Memory-aware end-to-end learning of channel distortions in optical coherent communications.

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1 Published in 2022 at "Optics express"

DOI: 10.1364/oe.470154

Abstract: We implement a new variant of the end-to-end learning approach for the performance improvement of an optical coherent-detection communication system. The proposed solution enables learning the joint probabilistic and geometric shaping of symbol sequences by… read more here.

Keywords: end end; end learning; memory aware; optical coherent ... See more keywords

DAE-ConvBiLSTM: End-to-end learning single-lead electrocardiogram signal for heart abnormalities detection

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1 Published in 2022 at "PLOS ONE"

DOI: 10.1371/journal.pone.0277932

Abstract: Background The electrocardiogram (ECG) is a widely used diagnostic that observes the heart activities of patients to ascertain a heart abnormality diagnosis. The artifacts or noises are primarily associated with the problem of ECG signal… read more here.

Keywords: end end; dae convbilstm; end learning; heart ... See more keywords