Titlebook: Deep Structure, Singularities, and Computer Vision; First International Ole Fogh Olsen,Luc Florack,Arjan Kuijper Conference proceedings 20

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書目名稱Deep Structure, Singularities, and Computer Vision影響因子(影響力)




書目名稱Deep Structure, Singularities, and Computer Vision影響因子(影響力)學(xué)科排名




書目名稱Deep Structure, Singularities, and Computer Vision網(wǎng)絡(luò)公開度




書目名稱Deep Structure, Singularities, and Computer Vision網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Deep Structure, Singularities, and Computer Vision被引頻次




書目名稱Deep Structure, Singularities, and Computer Vision被引頻次學(xué)科排名




書目名稱Deep Structure, Singularities, and Computer Vision年度引用




書目名稱Deep Structure, Singularities, and Computer Vision年度引用學(xué)科排名




書目名稱Deep Structure, Singularities, and Computer Vision讀者反饋




書目名稱Deep Structure, Singularities, and Computer Vision讀者反饋學(xué)科排名

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/264676.jpg

Oratory

https://doi.org/10.1007/115778123D; Computer Vision; Textur; feature extraction; feature selection; image analysis; image descriptors; imag

Oratory

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Developing the Socially Useful Economyver which the correlation will be calculated. Classically this is the whole space of interest, but in many cases one desires the correlation over some region of interest. The “inner scale” is the scale at which the signals to be correlated are represented. Classically this means infinite precision.

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