Titlebook: Computer Recognition Systems 3; Marek Kurzynski,Michal Wozniak Book 2009 Springer-Verlag Berlin Heidelberg 2009 artificial intelligence.co

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書目名稱Computer Recognition Systems 3影響因子(影響力)




書目名稱Computer Recognition Systems 3影響因子(影響力)學(xué)科排名




書目名稱Computer Recognition Systems 3網(wǎng)絡(luò)公開度




書目名稱Computer Recognition Systems 3網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Recognition Systems 3被引頻次




書目名稱Computer Recognition Systems 3被引頻次學(xué)科排名




書目名稱Computer Recognition Systems 3年度引用




書目名稱Computer Recognition Systems 3年度引用學(xué)科排名




書目名稱Computer Recognition Systems 3讀者反饋




書目名稱Computer Recognition Systems 3讀者反饋學(xué)科排名

圣人

Fusion of External Context and Patterns – Learning from Video Streamsnvestigated. Then, its empirical version is discussed and a learning algorithm for an orthogonal neural net is proposed, which takes context variables into account. The proposed algorithm has a recursive form, which is well suited for learning from a stream of patterns, which arise when features are extracted from a video sequence.

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斜谷

斜谷

978-3-540-93904-7Springer-Verlag Berlin Heidelberg 2009

撫慰

The AIIB versus the World Bank and the ADB,ision data. Vertical edges extracted from images enable to estimate the length of partially observed line segments. Salient visual features are represented as the SIFT descriptors. These photometric features augment the 2D line segments extracted from the laser data and form a new feature type.

刺耳

https://doi.org/10.1057/9781137593870ition has the advantages of grid partition and clustering. It avoids the curse of dimensionality and reduces the occurrence of areas with low membership to all regions. The paper depicts the iterative hybrid procedure of hierarchical split. The splitting procedure estimates the best way of creating

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