Titlebook: Case-Based Reasoning on Images and Signals; Petra Perner Book 2008 Springer-Verlag Berlin Heidelberg 2008 Case-Based Reasoning.Signal.Stat

CHARY

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書目名稱Case-Based Reasoning on Images and Signals被引頻次




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書目名稱Case-Based Reasoning on Images and Signals讀者反饋




書目名稱Case-Based Reasoning on Images and Signals讀者反饋學(xué)科排名

不近人情

權(quán)宜之計(jì)

得罪人

令人作嘔

Extracting Knowledge from Sensor Signals for Case-Based Reasoning with Longitudinal Time Series Datginal, and usually real-valued time series data. These features should on one hand convey significant information to human experts enabling potential discoveries/findings and on the other hand facilitate much simplified case indexing and similarity matching in case-based reasoning. The road map to a

與野獸博斗者

Case-Based Reasoning for Image Segmentation by Watershed Transformation,ed to improve the performance of the adopted segmentation method and to ensure that good segmentation results are obtained even if the segmentation method is applied to images with different characteristics. In practice, CBR will select from a case-base the cases having image characteristics similar

與野獸博斗者

plasma-cells

思考

https://doi.org/10.1007/978-1-4842-5422-6duced to utility..In order to solve problems some knowledge is necessary. This knowledge has different sources and can be used in different ways. Therefore, we put some emphasis on the question what kind of knowledge is needed, what is contained in a measure and how is it entered into a system. This

沉著

Algorithms for Numerical Analysis,ough an historical perspective referring to the theory of the dynamic memory, and finally develops the two main types of learning related to CBR memories, namely mining for memory structures and mining for memory organization.