7,010 research outputs found

    Generate To Adapt: Aligning Domains using Generative Adversarial Networks

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    Domain Adaptation is an actively researched problem in Computer Vision. In this work, we propose an approach that leverages unsupervised data to bring the source and target distributions closer in a learned joint feature space. We accomplish this by inducing a symbiotic relationship between the learned embedding and a generative adversarial network. This is in contrast to methods which use the adversarial framework for realistic data generation and retraining deep models with such data. We demonstrate the strength and generality of our approach by performing experiments on three different tasks with varying levels of difficulty: (1) Digit classification (MNIST, SVHN and USPS datasets) (2) Object recognition using OFFICE dataset and (3) Domain adaptation from synthetic to real data. Our method achieves state-of-the art performance in most experimental settings and by far the only GAN-based method that has been shown to work well across different datasets such as OFFICE and DIGITS.Comment: Accepted as spotlight talk at CVPR 2018. Code available here: https://github.com/yogeshbalaji/Generate_To_Adap

    Boosts, Schwarzschild Black Holes and Absorption cross-sections in M theory

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    DD dimensional neutral black strings wrapped on a circle are related to (D−1)(D-1) dimensional charged black holes by boosts. We show that the boost has to be performed in the covering space and the boosted coordinate has to be compactified on a circle with a Lorentz contracted radius. Using this fact we show that the transition between Schwarzschild black holes to black p-branes observed recently in M theory is the well-known black hole- black string transition viewed in a boosted frame. In a similar way the correspondence point where an excited string state goes over to a neutral black hole is mapped exactly to the correspondence point for black p-branes. In terms of the pp brane quantities the equation of state for an excited string state becomes identical to that of a 3+1 dimensional massless gas for all pp. Finally, we show how boosts can be used to relate Hawking radiation rates. Using the known microscopic derivation of absorption by extremal 3-branes and near-extremal 5D holes with three large charges we provide a microscopic derivation of absorption of 0-branes by seven and five dimensional Schwarzschild black holes in a certain regime.Comment: Some references added, minor clarifications (harvmac, 16 pages

    Thermal Stresses Due to the Action of Heat Source

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    The propagation of thermal stresses in a half-space, due to the action of a point heat source varying in time in a harmonic manner, using the generalized theory of thermoelasticity which takes into account the effect of relaxation time is discussed

    Generalised Thermo-Elasticity When the Material Coupling Parameter Equals Unity

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    Analytical solutions of three problems using the theory of generalised thermo-elasticity are presented for the case when the material coupling parameter equals unity (lambda =1). The problems considered are (1) Constant velocity impact, (2) Daniloviskaya's problem, and (3) Step in strain. Solutions are presented for the case of thin bars (one dimensional stress) and are obtained using Laplace transform. There is a great simplification in the equations of generalised thermo-elasticity when the material coupling parameter equals unity, which permits the straight forward inversion of the transformed solutions. The solutions obtained are more general which includes the effect of relaxation time also. The important feature of this paper is that the solutions of coupled theory can be readily obtained simply by putting the relaxation constant equals to zero (Beta=0)

    Applications for Detecting Diseases in Children Using Microsoft Visual Basic 6.0

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    The growing world of computer technology so that all problems can be solved with a computer, one of which is to create an "Application to Detect Disease in Children", where with this complaint who we can diagnose our children naturally without having to go outside the house to go to the doctor. This application is designed with the view that attention to simplicity in operation
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