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Titlebook: Highlights of Spanish Astrophysics V; Jose M. Diego,Luis J. Goicoechea,Javier Gorgas Conference proceedings 2010 Springer-Verlag Berlin He

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E. A. González-Solares,B. P. Venemans,R. G. McMahon,S. J. Warren,D. J. Mortlock,M. Patel,P. C. Hewetning. Most existing AT approaches can be grouped into restricted and unrestricted approaches. Restricted AT requires a prescribed uniform budget for AEs during training, with the obtained results showing high sensitivity to the budget. In contrast, unrestricted AT uses unconstrained AEs, and these o
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Isabel Márquez,Josefa Masegosaning. Most existing AT approaches can be grouped into restricted and unrestricted approaches. Restricted AT requires a prescribed uniform budget for AEs during training, with the obtained results showing high sensitivity to the budget. In contrast, unrestricted AT uses unconstrained AEs, and these o
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orithms can help dermatologists to diagnose skin cancer by identifying skin lesions. Many popular image segmentation algorithms combine UNet and Transformer, but cannot fully utilize the global information between different scales and also have a huge number of parameters. To this end, this paper pr
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C. Jordi,J. M. Carrasco,C. Fabricius,F. Figueras,H. Vossen text. In deep neural networks (DNN), words, sentences and documents are usually represented by embedding vectors. While simple embedding creation methods can only be used to approximate the meaning of words, recurrent neural networks (RNN) have the potential to capture the meaning of a sentence.
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OSIRIS: Final Characterization and Scientific Capabilities
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First Scientific Results from the ALHAMBRA: Survey
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Magnetic Fingerprints of Solar and Stellar Oscillations
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