Results 281 to 290 of about 688,784 (301)

In-Domain GAN Inversion for Real Image Editing

European Conference on Computer Vision, 2020
Recent work has shown that a variety of semantics emerge in the latent space of Generative Adversarial Networks (GANs) when being trained to synthesize images. However, it is difficult to use these learned semantics for real image editing.
Jiapeng Zhu, Yujun Shen, Deli Zhao, Bolei Zhou   +3 more
semanticscholar   +1 more source

Preparación del recurso humano para la ejecución de la inversión pública en el Gobierno Regional La Libertad-2014

REVISTA TECNOLOGÍA & DESARROLLO, 2016
La presente investigación, titulada PREPARACIÓN DEL RECURSO HUMANO PARA LA EJECUCIÓN DE LA INVERSIÓN PÚBLICA EN EL GOBIERNO REGIONAL DE LA LIBERTAD-2014, se centra en el problema de los empirismos aplicativos, deciencias, incumplimientos y carencias que afectan al recurso humano encargado de la formulación, evaluación y gestión de los ...
Luis Alfonso Lescano San Martín, Javier Heli Vergara García   +1 more
openaire   +1 more source

ANÃLISIS DE INVERSIÓN PARA LA PRODUCCIÓN DE OVINOS EN EL MUNICIPIO DE TZUCACAB, YUCATAN, MÉXICO

2014
A study of investment was done with the goal of knowing the possibilities to establish a sheep unit production at the village of Tzucacab, Yucatán. Based on information collected by the technical and market research, a financial analysis was prepared using the technique of fixed investment budgets, revenues, expenses and cash flow, which served to ...
Hernández Cortázar, Ivonne, Rejón Ãvila, Manuel, Valencia Heredia, Eduardo, Araujo Andrade, Luis   +3 more
openaire   +2 more sources

Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations

International Conference on Learning Representations
Generative models transform random noise into images; their inversion aims to transform images back to structured noise for recovery and editing.
Litu Rout, Yujia Chen, Nataniel Ruiz, C. Caramanis, Sanjay Shakkottai, Wen-Sheng Chu   +5 more
semanticscholar   +1 more source

Model inversion attacks against collaborative inference

Asia-Pacific Computer Systems Architecture Conference, 2019
The prevalence of deep learning has drawn attention to the privacy protection of sensitive data. Various privacy threats have been presented, where an adversary can steal model owners' private data. Meanwhile, countermeasures have also been introduced to
Zecheng He, Tianwei Zhang, R. Lee
semanticscholar   +1 more source

Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment

Conference on Computer and Communications Security, 2019
The wide application of deep learning technique has raised new security concerns about the training data and test data. In this work, we investigate the model inversion problem under adversarial settings, where the adversary aims at inferring information
Ziqi Yang, Jiyi Zhang, E. Chang, Zhenkai Liang   +3 more
semanticscholar   +1 more source

Convolutional neural network for seismic impedance inversion

Geophysics, 2018
We have addressed the geophysical problem of obtaining an elastic model of the subsurface from recorded normal-incidence seismic data using convolutional neural networks (CNNs).
Vishal Das, Ahinoam Pollack, U. Wollner, T. Mukerji   +3 more
semanticscholar   +1 more source

Multilateral Inversion of Ar, Cr, and Dr Basic Hypergeometric Series

, 2006
In [Electron. J. Combin. 10 (2003), #R10], the author presented a new basic hypergeometric matrix inverse with applications to bilateral basic hypergeometric series.
M. Schlosser
semanticscholar   +1 more source

An overview of full-waveform inversion in exploration geophysics

, 2009
J. Virieux, S. Operto
semanticscholar   +1 more source

Inversion of seismic reflection data in the acoustic approximation

, 1984
A. Tarantola
semanticscholar   +1 more source