Titlebook: Neural Information Processing; 13th International C Irwin King,Jun Wang,DeLiang Wang Conference proceedings 20061st edition Springer-Verlag

Vulvodynia

Adriano de A. Bresolin,Adrião Duarte D. Neto,Pablo Javier Alsinaand that enzymatic activities respond in different ways to contamination by this substance. Moreover, the results of these studies suggest that the different behaviour depends on the organic matter content and/or the pH of the soil. The present study was therefore carried out in order to provide fur

自恋

Gratulate

A Novel Multistage Classification Strategy for Handwriting Chinese Character Recognition Using Localntization. In recognition phase, we first find the nearest group of the unknown sample, and then get the desired class label through the local classifier. Experiments have been implemented on CASIA database and the results show that the proposed method reaches a reasonable tradeoff between efficiency and accuracy.

季雨

Autonomous and Deterministic Clustering for Evidence-Theoretic Classifierthm. By testing the classifier on the medical diagnosis benchmark data, iris data and Westland vibration data, one can conclude classifier that uses global k-means clustering algorithm has higher accuracy when compared to the classifier that uses k-means clustering algorithm.

民间传说

Bark Classification Based on Gabor Filter Features Using RBPNN Neural Networkts show that, first, features extracted using the proposed approach can be used for bark texture classification. Second, compared with radial basis function neural network (RBFNN), the RBPNN achieves higher recognition rate and better classification efficiency when the feature vectors have low-dimensions.