Searched for: subject%3A%22convolution%22
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Ghafaryasl, B. (author), Baart, Robert (author), de Boer, J.F. (author), Vermeer, K.A. (author), van Vliet, L.J. (author)
Optical coherence tomography (OCT) yields high-resolution, three-dimensional images of the retina. A better understanding of retinal nerve fiber bundle (RNFB) trajectories in combination with visual field data may be used for future diagnosis and monitoring of glaucoma. However, manual tracing of these bundles is a tedious task. In this work,...
conference paper 2017
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Adal, K.M. (author), Van Etten, Peter G. (author), Martinez, Jose P (author), Rouwen, Kenneth (author), Vermeer, K.A. (author), van Vliet, L.J. (author)
Automated detection and quantification of spatio-temporal retinal changes is an important step to objectively assess disease progression and treatment effects for dynamic retinal diseases such as diabetic retinopathy (DR). However, detecting retinal changes caused by early DR lesions such as microaneurysms and dot hemorrhages from...
conference paper 2017
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van Rosmalen, N.C. (author)
To possess a computer algorithm that can perform the popular task of object localization with only weak supervision is valuable for numerous reasons. Often enough a certain localization task (e.g. bird localization) simply does not have properly annotated training data available. In this thesis a novel approach called Positive Class Localization...
master thesis 2016
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Blom, W.B. (author)
The digital environment has an ever increasing amount smart programs. Programs that also get smarter every day. They help us filtering spam e-mail and they adjust to show us personalized advertisements. These smart programs observe people and serve (other) people. A robot can be seen as a program with a body. Make the program smart enough and it...
master thesis 2016
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Veraar, M.C. (author), Yaroslavtsev, I.S. (author)
In this paper we define a new type of quadratic variation for cylindrical continuous local martingales on an infinite dimensional spaces. It is shown that a large class of cylindrical continuous local martingales has such a quadratic variation. For this new class of cylindrical continuous local martingales we develop a stochastic integration...
journal article 2016
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Faghih Roohi, S. (author), Hajizadeh, S. (author), Nunez, Alfredo (author), Babuska, R. (author), De Schutter, B.H.K. (author)
In this paper, we propose a deep convolutional neural network solution to the analysis of image data for the detection of rail surface defects. The images are obtained from many hours of automated video recordings. This huge amount of data makes it impossible to manually inspect the images and detect rail surface defects. Therefore, automated...
conference paper 2016
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Van den Bor, J. (author)
Image Processing is an emerging field: every year new applications are introduced, and these are pushing the hardware requirements. This thesis looks at the design of a hardware accelerator to accelerate several filters used in Image Processing: 2D Convolution, Census Transform, and Local Binary Patterns. At Intel, these filters are used for...
master thesis 2015
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Lux, F.G. (author)
Several internal multiple prediction methods have been proposed in the past and are still actively being researched. Of those, the Jakubowicz method is currently the most attractive and applied one, as it only uses surface data in a convolution and correlation process, and is therefore computationally relatively cheap. This allows its commercial...
master thesis 2015
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Van der Laan, T.A. (author)
The works [Volodymyr et al. Playing atari with deep reinforcement learning. arXiv preprint arXiv:1312.5602, 2013.] and [Volodymyr et al. Human-level control through deep reinforcement learning. Nature, 518(7540):529–533, 2015.] have demonstrated the power of combining deep neural networks with Watkins Q learning. They introduce deep Q networks ...
journal article 2015
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Van Neerven, J.M.A.M. (author), Veraar, M.C. (author), Weis, L. (author)
In this paper, we prove maximal regularity estimates in “square function spaces” which are commonly used in harmonic analysis, spectral theory, and stochastic analysis. In particular, they lead to a new class of maximal regularity results for both deterministic and stochastic equations in L p -spaces with 1<p<?. For stochastic equations, the...
journal article 2015
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Pronk, M. (author)
In this thesis we study stochastic evolution equations in Banach spaces. We restrict ourselves to the two following cases. First, we consider equations in which the drift is a closed linear operator that depends on time and is random. Such equations occur as mathematical models in for instance mathematical finance and filtration theory. Second,...
doctoral thesis 2013
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Skejic, R. (author)
This paper provides overview of the currently available theoretical methods and their capabilities in relation to simulations of the maneuvering behavior of displacement type of ships in a seaway. It has been considered that the ships are engaged in typical type of maneuvers such are for example Zig-Zag and Turning maneuvers according to IMO...
conference paper 2013
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Veraar, M. (author), Weis, L. (author)
In stochastic partial differential equations it is important to have pathwise regularity properties of stochastic convolutions. In this note we present a new sufficient condition for the pathwise continuity of stochastic convolutions in Banach spaces.
journal article 2011
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Cox, S.G. (author), Van Neerven, J.M.A.M. (author)
journal article 2010
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Al Umairy, S.A.H. (author)
This thesis is done in the framework of wafer metrology to accelerate an electromagnetic diffraction model (EDM), which is used to measure the profile on a wafer, on programmable graphics processors (GPU). The main focus of this thesis is to investigate the suitability of EDM to GPU architectures. This study contributes with statistical data and...
master thesis 2010
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Huijssen, J. (author), Verweij, M.D. (author)
The development and optimization of medical ultrasound transducers and imaging modalities require a computational method that accurately predicts the nonlinear acoustic pressure field. A prospective method should provide the wide-angle, pulsed field emitted by an arbitrary planar source distribution and propagating in a three-dimensional, large...
journal article 2010
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Verweij, M.D. (author), Huijssen, J. (author)
The full-wave computation of transient acoustic fields with sizes in the order of 100x100x100 wavelengths by 100 periods requires a numerical method that is extremely efficient in terms of storage and computation. Iterative integral equation methods offer a good performance on these points, provided that the recurring spatiotemporal convolutions...
journal article 2009
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Van Neerven, J.M.A.M. (author), Veraar, M.C. (author), Weis, L. (author)
journal article 2008
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Slob, E.C. (author), Wapenaar, C.P.A. (author)
It is shown that the electromagnetic Green's functions of any linear medium with arbitrary heterogeneity can be obtained from the cross?correlation, or the cross?convolution, of two recordings at different receiver locations in an open system. Existing representations are known for cross?correlations where time?reversal invariance is exploited...
journal article 2007
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Huijssen, J. (author), Verweij, M.D. (author)
The design of phased array transducers for medical diagnostic ultrasound asks for an understanding of the nonlinear propagation of acoustic wavefields. Most existing numerical models are based on the linearized model equations, but in the recent decades several numerical models have been developed that incorporate weak nonlinear propagation as...
conference paper 2006
Searched for: subject%3A%22convolution%22
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