Titlebook: Neural Nets; 14th Italian Worksho Bruno Apolloni,Maria Marinaro,Roberto Tagliaferri Conference proceedings 2003 Springer-Verlag Berlin Heid

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书目名称Neural Nets影响因子(影响力)




书目名称Neural Nets影响因子(影响力)学科排名




书目名称Neural Nets网络公开度




书目名称Neural Nets网络公开度学科排名




书目名称Neural Nets被引频次




书目名称Neural Nets被引频次学科排名




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书目名称Neural Nets年度引用学科排名




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书目名称Neural Nets读者反馈学科排名

合适

An Algorithm to Model Paradigm Shifting in Fuzzy Clusteringopose an implementation of a graded possibilistic clustering algorithm based on an interval equality constraint enforcing both the normality condition and the required graded possibilistic condition. Experimental results highlight the different properties attainable through appropriate implementation of a suitable graded possibilistic model.

怪物

Multi-class Image Coding via EM-KLT Algorithmatched to a multidimensional Gaussian density function and the Karhunen-Loeve Transform (KLT), followed by optimal quantization and coding, is applied to each one of them. The performance of this Class-KLT coder is compared to the classical KLT coder (one class) showing appreciable improvement in image quality.

出价

978-3-540-20227-1Springer-Verlag Berlin Heidelberg 2003

Endearing

烦忧

0302-9743 Overview: Includes supplementary material: 978-3-540-20227-1978-3-540-45216-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

事与愿违

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/663673.jpg

Cpr951

https://doi.org/10.1007/b13826Hidden Markov Model; algorithms; artificial neural networks; bioinformatics; bioinspired computing; learn

BUDGE

Nonparametric Hidden Markov Models: Principles and Applications to Speech Recognition(ASR), off-line handwritten text recognition, and bioinformatics. HMMs rely on strong assumptions on their statistical properties, e.g. the arbitrary parametric assumption on the form of the emission probability density functions (pdfs). This chapter proposes a nonparametric HMM based on connectioni

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