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Variational Noise-Contrastive Estimation
CoRR, 2018 Unnormalised latent variable models are a broad and flexible class of statistical models. However, learning their parameters from data is intractable, and few estimation techniques are currently available for such models. To increase the number of techniques in our arsenal, we propose variational noise-contrastive estimation (VNCE), building on NCE ...
Benjamin Rhodes, Michael U. Gutmann
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Spatial Frequency Discrimination of Band-limited Periodic Targets: Effects of Stimulus Contrast, Bandwidth and Retinal Eccentricity [PDF]
, 1992 Two experiments were conducted to explore the ability of human observers to discriminate the spatial frequency of briefly-presented, Gaussian-truncated sinewave gratings.
Greenlee, Mark W.
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Regional differences in the perception of a consonantal change in progress [PDF]
, 2016 This study aims at testing whether there are regional differences in the perception of the labiodental fricative contrast in Dutch. Previous production studies have shown that the devoicing of initial labiodental fricatives is a change in progress in the
van de Velde, H. +4 more
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Phonetic Distinctiveness vs. Lexical Contrastiveness in Non-Robust Phonemic Contrasts
Laboratory Phonology, 2016 It is known that the mid vowel contrasts of Standard Italian distinguish few minimal pairs, may be lexically variable, and show some degree of phonological conditioning in certain varieties.
D. Robert Ladd, Margaret Renwick
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Individual variation in cone photoreceptor density in house sparrows: implications for between-individual differences in visual resolution and chromatic contrast. [PDF]
PLoS ONE, 2014 Between-individual variation has been documented in a wide variety of taxa, especially for behavioral characteristics; however, intra-population variation in sensory systems has not received similar attention in wild animals.
Amanda L Ensminger +1 more
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Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation [PDF]
Proceedings of the Web Conference 2021, 2021 Sequential recommendation as an emerging topic has attracted increasing attention due to its important practical significance. Models based on deep learning and attention mechanism have achieved good performance in sequential recommendation. Recently, the generative models based on Variational Autoencoder (VAE) have shown the unique advantage in ...
Zhe Xie +5 more
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AIP Advances, 2022 The crystallographic structures of disordered materials are typically analyzed using diffractometry techniques, such as x-ray diffraction (XRD), neutron diffraction (ND), and electron diffraction (ED).
Koji Kimoto +6 more
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Sensors, 2020 Visual contents such as movies and animation evoke various human emotions. We examine an argument that the emotion from the visual contents may vary according to the contrast control of the scenes contained in the contents.
Heekyung Yang, Jongdae Han, Kyungha Min
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Radiology Case Reports, 2020 The inferior mesenteric artery arising from the superior mesenteric artery is an extremely rare anatomic variation. We report a case with this variation demonstrated with 3-dimensional contrast-enhanced computed tomography, which later was confirmed at ...
Yoshitaka Okada, MD +4 more
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Fractal and Fractional, 2023 In this paper, we propose a total fractional-order variation model for multiplicative noise removal and contrast enhancement of real SAR images. Inspired by the high dynamic intensity range of SAR images, the full content of the SAR images is preserved ...
Yamei Zhou +4 more
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