End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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.
Sign Up to like & getrecommendations! 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
SiPhyR: An End-to-End Learning-Based Optimization Framework for Dynamic Grid Reconfiguration
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2024.3458438
Abstract: Distribution grids are rapidly transforming with increasing penetration of distributed renewable generation, storage, and electric vehicles. These devices introduce new dynamic signatures including intermittency and changing demand patterns. To maintain a safe and reliable power… read more here.
Keywords: end learning; end; framework; end end ... See more keywords
Memory-aware end-to-end learning of channel distortions in optical coherent communications.
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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