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Titlebook: Handbuch Migrationssoziologie; Antje R?der,Darius Zifonun Living reference work 20200th edition Migration.Migrationssoziologie.Migrations

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樓主: squamous-cell
21#
發(fā)表于 2025-3-25 03:54:47 | 只看該作者
Ludger Priesfeatures maximizing individually the mutual information, stable object features within all past observations and features from the initial object template. The object undergoing tracking is discriminated by a boosted classifier built on regression stumps. We seek mode in the confidence map calculate
22#
發(fā)表于 2025-3-25 07:45:43 | 只看該作者
Antje R?der,Dariu? Zifonun structures by means of Fourier-based features is proposed in this paper..The major concerns of this paper are the determination of various refrence sets of stripe patterns, and the detailed investigation on the subset of Fourier features that best characterizes free-form bright/dark structures. In
23#
發(fā)表于 2025-3-25 15:33:11 | 只看該作者
Thomas Faist,Rosa Brandhorstn visiting a contour shape, are used. Previous approaches for detecting corners employ eight different symbols and usually compute angles and maximum curvature. The three basic pattern contour chain elements, founded in this paper, represent changes of direction in the contour curves, requiring few
24#
發(fā)表于 2025-3-25 19:34:54 | 只看該作者
Mathias B?sr the years. However, modern sensors are also capable of acquiring at higher spatial resolutions which are still affected by noise, specially under low lighting conditions. The situation is even worse in video cameras, where the capture time is bounded by the frame rate. The noise in the video degra
25#
發(fā)表于 2025-3-25 20:47:36 | 只看該作者
Torben KringsS 2015, held Catania, Italy, in October 2015. The 76 revised full papers were carefully selected from 129 submissions.?Acivs 2015 is a conference focusing on techniques for building adaptive, intelligent, safe and secure imaging systems. The focus of the conference is on following topic: low-level I
26#
發(fā)表于 2025-3-26 00:19:27 | 只看該作者
27#
發(fā)表于 2025-3-26 06:29:10 | 只看該作者
28#
發(fā)表于 2025-3-26 12:16:23 | 只看該作者
29#
發(fā)表于 2025-3-26 14:36:00 | 只看該作者
30#
發(fā)表于 2025-3-26 19:29:29 | 只看該作者
Kira Kosnickts in a new approach to aggregate local features, based on a non-parametric estimation of the Fisher vector, that result from the derivation of the gradient of the loglikelihood. For this, we need to use low level local descriptors that are learned with independent component analysis and thus provid
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