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Titlebook: De Rham Cohomology of Differential Modules on Algebraic Varieties; Yves André,Francesco Baldassarri Book 20011st edition Springer Basel AG

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Mixed-Initiative Creative Drawing with ,, abstract semantic concepts. The goal of this creative exercise is to create icons that are ambiguous enough to confuse other people attempting to guess which concept they represent. . is available online and all creations can be browsed, rated and voted on by anyone; this democratizes the creative
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,Distribution of Noise in Linear Recurrent Fractal Interpolation Functions for Data Sets with ,-Stab (a generalization of Gaussian noise) on its ordinate, which captures the uncertainty at any missing or unknown intermediate point. The propagation of uncertainty in this linear RFIF is investigated, and a method for estimating parameters of the uncertainty at any interpolated value is provided. Mor
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The Identities of the Things Themselves,derstand as an establishing of limits, as a reflection which exposes a position as circumscribed and determined by certain positings. It is a matter of a reflection that would transgress the Husserlian position, that would exceed it in such a way as to expose certain positings as constituting its li
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A Collaborative Code Development Environment for Computational Electro-Magneticsoblem area or domain. We describe a visual code development tool within a PSE, which enables computational scientists to construct applications by connecting components. The granularity of each component can vary from being a complete code, to a mathematical routine such as a matrix or PDE solver. W
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Markets for Temporary Clerical Labour and the Role of the Private Employment Agency,the supply of temporary labour. Both the state of the market for temporary clerical labour and the manner in which agencies align jobs and workers represent important variables in the study of temps’ attitudes to work.
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https://doi.org/10.1007/978-981-32-9566-7g methods like k-means. The segmentation algorithm is based on oversampling pixels from classified patches and using simple statistical methods for joining the information collected. The experimental results at the end of this paper show clearly that the algorithms proposed suit well also for very demanding segmentation tasks.
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Semi-supervised Learning Based on Coupled Graph Laplacian Regularization, optimization framework, and propose the coupled graph Laplacian regularized semi-supervised learning approach. Experiments on several publicly datasets show that the proposed approach achieves the superior classification performances, while the computational costs are comparable to state-of-the-art methods.
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