Titlebook: Artificial Neural Networks in Pattern Recognition; 6th IAPR TC 3 Intern Neamat Gayar,Friedhelm Schwenker,Cheng Suen Conference proceedings

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書目名稱Artificial Neural Networks in Pattern Recognition影響因子(影響力)




書目名稱Artificial Neural Networks in Pattern Recognition影響因子(影響力)學(xué)科排名




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書目名稱Artificial Neural Networks in Pattern Recognition被引頻次學(xué)科排名




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書目名稱Artificial Neural Networks in Pattern Recognition讀者反饋




書目名稱Artificial Neural Networks in Pattern Recognition讀者反饋學(xué)科排名

Bumble

Analyzing Dynamic Ensemble Selection Techniques Using Dissimilarity Analysisiques was proposed by the authors and uses meta-learning to define the competence of base classifiers based on different criteria. In the dissimilarity analysis, this proposed technique appears closer to the Oracle when compared to others, which would seem to indicate that using different bits of in

Fallibility

Figate

Combining Bipartite Graph Matching and Beam Search for Graph Edit Distance Approximationork with a fast tree search procedure. More precisely, we regard the assignment from the original approximation as a starting point for a subsequent beam search. In an experimental evaluation on three real world data sets a substantial gain of assignment accuracy can be observed while the run time r

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痛恨

Part-Based High Accuracy Recognition of Serial Numbers in Bank Notesconducted on a RMB serial number character database show that the test accuracy boosted from 98.90% to 99.33% by utilizing the proposed method with multiple voting based combination strategy. The part-based recognition method can also be extended to other types of banknotes, such as Euro, U.S. and C

繁榮地區(qū)

,“Animal Models” for Fetal Alcohol Effects,al properties of the required input-output mapping using the minimum number of hidden nodes. Hidden nodes with least contribution to the error minimization at the output layer will be pruned. Experimental results show that the proposed pruning algorithm correctly prunes irrelevant hidden units.

激勵(lì)

Leo R. Leader MD, FRACOG, FRCOG, FCOG (SA)iques was proposed by the authors and uses meta-learning to define the competence of base classifiers based on different criteria. In the dissimilarity analysis, this proposed technique appears closer to the Oracle when compared to others, which would seem to indicate that using different bits of in

Progesterone

Effect of genome on size at birthg to the resemblance to the underlying concept distribution. Simulation produced with synthetic problems indicate that the proposed fusion technique is able to increase system performance when input data streams incorporate abrupt concept changes, yet maintains a level of performance that is compara

Interferons