Titlebook: Hierarchical Neural Networks for Image Interpretation; Sven Behnke Book 2003 Springer-Verlag Berlin Heidelberg 2003 cognition.computer vis

Awkward

書目名稱Hierarchical Neural Networks for Image Interpretation影響因子(影響力)




書目名稱Hierarchical Neural Networks for Image Interpretation影響因子(影響力)學(xué)科排名




書目名稱Hierarchical Neural Networks for Image Interpretation網(wǎng)絡(luò)公開度




書目名稱Hierarchical Neural Networks for Image Interpretation網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Hierarchical Neural Networks for Image Interpretation被引頻次




書目名稱Hierarchical Neural Networks for Image Interpretation被引頻次學(xué)科排名




書目名稱Hierarchical Neural Networks for Image Interpretation年度引用




書目名稱Hierarchical Neural Networks for Image Interpretation年度引用學(xué)科排名




書目名稱Hierarchical Neural Networks for Image Interpretation讀者反饋




書目名稱Hierarchical Neural Networks for Image Interpretation讀者反饋學(xué)科排名

fixed-joint

支柱

0302-9743 ed learning techniques. ..Applications of the proposed architecture are illustrated using small networks. Furthermore, several larger networks were trained to perform various nontrivial computer vision tasks..978-3-540-40722-5978-3-540-45169-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

秘傳

Unsupervised Learning be designed manually. If multiple layers of abstraction are needed, the design complexity explodes with height, as the number of different feature arrays and the number of potential weights per feature increase exponentially.

發(fā)芽

神經(jīng)

Aggressive

refraction

全神貫注于

突襲