Results 11 to 20 of about 7,284,216 (310)
Variational Autoencoders Without the Variation
11 pages, 7 figures, 3 ...
Gregory A. Daly +2 more
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The evolution of mesoscale eddies is crucial for understanding the ocean energy cascade. In this study, using global reanalysis sea surface velocity data and a mesoscale eddy trajectory product tracked by satellite altimeters, we aimed to reveal the ...
Zhisheng Zhang +5 more
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Using cruise observations before and after the typhoon Chebi in August 2013 and those without the typhoon in July 2012, this study investigates variations in current structure, nutrient distribution, and transports disturbed by a typhoon in a typical ...
Manli Zheng +5 more
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In this paper, we present a new variational method for sparse regression using $L_0$ regularization. The variational parameters appear in the approximate model in a way that is similar to Breiman's Garrote model. We refer to this method as the variational Garrote (VG).
Hilbert J. Kappen, Vicenç Gómez
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Populations in seasonal fluctuating environments receive multiple environmental cues and must deal with this heterogenic environment to survive and reproduce.
Banu Şebnem Önder, Cansu Fidan Aksoy
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Forensic facial comparison is a commonly used, yet under-evaluated method employed in medicolegal contexts across the world. Testing the accuracy and reliability of facial comparisons requires large scale controlled and matching facial image databases ...
Nicholas Bacci +3 more
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To better understand the environmental significance of sediment grain size in continental shelf of the South China Sea (SCS), we carried out a detailed grain size study of sediments from the YJ Core, derived from the mud deposits of the northern SCS ...
Jin Xu, Chao Huang, Xin Huang
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Forensic Facial Comparison: Current Status, Limitations, and Future Directions
Global escalation of crime has necessitated the use of digital imagery to aid the identification of perpetrators. Forensic facial comparison (FFC) is increasingly employed, often relying on poor-quality images.
Nicholas Bacci +3 more
doaj +1 more source
Variations in Variational Autoencoders - A Comparative Evaluation [PDF]
Variational Auto-Encoders (VAEs) are deep latent space generative models which have been immensely successful in many applications such as image generation, image captioning, protein design, mutation prediction, and language models among others. The fundamental idea in VAEs is to learn the distribution of data in such a way that new meaningful data can
Ruoqi Wei +4 more
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Microplastic accumulation and resulting degradation are significant threats to the coastal ecosystems around the world. Baseline information on microplastics and their sources is of great importance for a permanent waste management system.
Mayakrishnan Machendiranathan +8 more
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