Titlebook: Similarity-Based Pattern Recognition; Second International Edwin Hancock,Marcello Pelillo Conference proceedings 2013 Springer-Verlag Berli

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書目名稱Similarity-Based Pattern Recognition影響因子(影響力)




書目名稱Similarity-Based Pattern Recognition影響因子(影響力)學(xué)科排名




書目名稱Similarity-Based Pattern Recognition網(wǎng)絡(luò)公開度




書目名稱Similarity-Based Pattern Recognition網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Similarity-Based Pattern Recognition被引頻次




書目名稱Similarity-Based Pattern Recognition被引頻次學(xué)科排名




書目名稱Similarity-Based Pattern Recognition年度引用




書目名稱Similarity-Based Pattern Recognition年度引用學(xué)科排名




書目名稱Similarity-Based Pattern Recognition讀者反饋




書目名稱Similarity-Based Pattern Recognition讀者反饋學(xué)科排名

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兵團(tuán)

Break and Conquer: Efficient Correlation Clustering for Image Segmentation,ing the characteristics of the image segmentation problem that make it possible to break the problem into subproblems. Each sub-problem corresponds to an automatically detected image part. We demonstrate a reduced computational complexity with comparable results to state-of-the-art on the BSDS-500 and the Weizmann Two-Objects datasets.

HILAR

Fast Learning of Gamma Mixture Models with ,-MLE, step to choose this parameter is added in the algorithm. Since it converges locally and is computationally faster than an Expectation-Maximization method for Gamma mixture models, our method can be used beneficially as a drop-in replacement in any application using this kind of statistical models.

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Matrimony

Conference proceedings 2013s held in York, UK, in July 2013. The 18 papers presented were carefully reviewed and selected from 33 submissions. They cover a wide range of problems and perspectives, from supervised to unsupervised learning, from generative to discriminative models, from theoretical issues to real-world practica

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