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Titlebook: Hands; A Pattern Theoretic U. Grenander,Y. Chow,D. M. Keenan Book 1991 Springer-Verlag New York, Inc. 1991 algorithms.artificial intellige

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書目名稱Hands
副標(biāo)題A Pattern Theoretic
編輯U. Grenander,Y. Chow,D. M. Keenan
視頻videohttp://file.papertrans.cn/424/423969/423969.mp4
叢書名稱Research Notes in Neural Computing
圖書封面Titlebook: Hands; A Pattern Theoretic  U. Grenander,Y. Chow,D. M. Keenan Book 1991 Springer-Verlag New York, Inc. 1991 algorithms.artificial intellige
描述In this book a global shape model is developed and applied to the analysis of real pictures acquired with a visible light camera under varying conditions of optical degradation. Computational feasibility of the algorithms derived from this model is achieved by analytical means. The aim is to develop methods for image understanding based on structured restoration, for example automatic detection of abnormalities. We also want to find the limits of applicability of the algorithms. This is done by making the optical degradations more and more severe until the algorithms no longer succeed in their task. This computer experiment in pattern theory is one of several. The others, LEAVES, X-RAYS, and RANGE are described elsewhere. This book is suitable for an advanced undergraduate or graduate seminar in pattern theory, or as an accompanying book for applied probability, computer vision, or pattern recognition.
出版日期Book 1991
關(guān)鍵詞algorithms; artificial intelligence; cognition; computer vision; model; pattern analysis; pattern recognit
版次1
doihttps://doi.org/10.1007/978-1-4612-3046-5
isbn_softcover978-0-387-97386-9
isbn_ebook978-1-4612-3046-5Series ISSN 0939-4818
issn_series 0939-4818
copyrightSpringer-Verlag New York, Inc. 1991
The information of publication is updating

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地板
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Model Critique and Conclusions,The experiment has shown that the global shape model has enough . for the analysis of the real pictures we studied. For picture ensembles of the type studied the model will not need any essential modifications except that more attention should be paid to the choice of parameter values, e.g. SIGMAS, SIG2, ABOND.
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Research Notes in Neural Computinghttp://image.papertrans.cn/h/image/423969.jpg
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Pattern Analysis,both possible and convenient to use the same code for both purposes with a switch called, SYNTHESIS, to be turned on or off as required. Other switches will be used later. But first we have to clear up an issue concerning the simulation of the posterior (1.12).
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發(fā)表于 2025-3-23 04:41:15 | 只看該作者
,Pattern Analysis — Experiments,s experiments should not, of course, be considered as sufficient substitutes for empirical information about the parameters — this should instead be obtained from data as will be discussed in Section 6.
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https://doi.org/10.1007/978-1-4612-3046-5algorithms; artificial intelligence; cognition; computer vision; model; pattern analysis; pattern recognit
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