Results 111 to 120 of about 3,855,623 (207)

A variational nonlinear Hausdorff-Young inequality in the discrete setting [PDF]

open access: yesarXiv, 2017
Following the works of Lyons and Oberlin, Seeger, Tao, Thiele and Wright, we relate the variation of certain discrete curves on the Lie group $\text{SU}(1,1)$ to the corresponding variation of their linearized versions on the Lie algebra. Combining this with a discrete variational Menshov-Paley-Zygmund theorem, we establish a variational Hausdorff ...
arxiv  

Precompactness in bivariate metric semigroup-valued bounded variation spaces [PDF]

open access: yesarXiv
In this paper, we show that if a set in bivariate metric semigroups-valued bounded variation spaces is pointwise totally bounded and joint equivariated then it is precompact. These spaces include bounded Jordan variation spaces, bounded Wiener variation spaces, bounded Waterman variation spaces, bounded Riesz variation spaces and bounded Korenblum ...
arxiv  

The total second variation of Perelman's $\mathcal{W}$-functional [PDF]

open access: yesarXiv, 2012
We show a very simple and general total second variation formula for Perelman's $\mathcal{W}$-functional at arbitrary points in the space of Riemannian metrics. Moreover we perform a study of the properties of the variations of K\"ahler structures.
arxiv  

Conocimiento fonético y fonética judicial [PDF]

open access: yes, 2014
El objetivo de este artículo es determinar qué puede aportar el conocimiento de los fonetistas al campo de la fonética judicial y cuáles son las diferentes fases que se deben seguir en el análisis de las señales de habla que se emplean en acústica ...
Llisterri Boix, Joaquin   +2 more
core  

Incremental Variational Inference for Latent Dirichlet Allocation [PDF]

open access: yesarXiv, 2015
We introduce incremental variational inference and apply it to latent Dirichlet allocation (LDA). Incremental variational inference is inspired by incremental EM and provides an alternative to stochastic variational inference. Incremental LDA can process massive document collections, does not require to set a learning rate, converges faster to a local ...
arxiv  

Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function [PDF]

open access: yesarXiv, 2019
In Bayesian machine learning, the posterior distribution is typically computationally intractable, hence variational inference is often required. In this approach, an evidence lower bound on the log likelihood of data is maximized during training. Variational Autoencoders (VAE) are one important example where variational inference is utilized.
arxiv  

Identity Performance among Black/Biracial Men through Intonation: Examining Pitch Accents and Peak Delay [PDF]

open access: yes, 2016
The acoustic properties that listeners may rely on in both the production and perception of ethnolinguistic variation are an important yet poorly understood topic in modern sociolinguistics. Though several studies (Purnell, Idsardi and Baugh 1999, Tarone
Holliday, Nicole R
core   +1 more source

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