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A Maximizing-Discriminability-Based Self-Organizing Fuzzy Network for Classification Problems
A maximizing-discriminability-based self-organizing fuzzy network (MDSOFN) that can classify highly confusable patterns is proposed in this paper. The underlying notion of the proposed MDSOFN is toExpand
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A TS-Type Maximizing-Discriminability-Based Recurrent Fuzzy Network for Classification Problems
This work proposes a Takagi-Sugeno (TS)-type maximizing-discriminability-based recurrent fuzzy network (MDRFN) that can classify highly confusable patterns. The discriminative capability plays aExpand
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A Vectorization-Optimization-Method-Based Type-2 Fuzzy Neural Network for Noisy Data Classification
This paper proposes a vectorization-optimization-method (VOM)-based type-2 fuzzy neural network (VOM2FNN) for noisy data classification. In handling problems with uncertainties, such as noisy data,Expand
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Image Watermarking Using Structure Based Wavelet Tree Quantization
In this paper, we proposed a novel wavelet-tree based watermarking method by using structure-based quantization. First, we arrange wavelet-trees into super-trees. Secondly, the watermark bits areExpand
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A Novel Entropy Based Image Watermarking in Wavelet Domain
In this paper, we proposed a novel entropy-based image watermarking method in wavelet domain. Unlike traditional entropy, we use the normalized energy instead of the probability which is calledExpand
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Robust Image Watermarking Using Adaptive Structure Based Wavelet Tree Quantization
This work presents a novel robust wavelet-tree-based watermarking method based on structure-based quantization. Wavelet-trees are arranged into super-trees. The watermark bits are then embedded intoExpand