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ISNN
2004
Springer
13 years 10 months ago
Progressive Principal Component Analysis
Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...
Jun Liu, Songcan Chen, Zhi-Hua Zhou
ISNN
2004
Springer
13 years 10 months ago
A Boosting-Based Framework for Self-Similar and Non-linear Internet Traffic Prediction
Abstract. Internet traffic prediction plays a fundamental role in network design, management, control, and optimization. The self-similar and non-linear nature of network traffic m...
Hanghang Tong, Chongrong Li, Jingrui He
ISNN
2004
Springer
13 years 10 months ago
Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks
Abstract. In this paper, some sufficient conditions are obtained to guarantee that discrete time cellular neural networks (DTCNNs) can have some stable memory patterns. These condi...
Zhigang Zeng, De-Shuang Huang, Zengfu Wang
ISNN
2004
Springer
13 years 10 months ago
Fuzzy-Kernel Learning Vector Quantization
This paper presents an unsupervised fuzzy-kernel learning vector quantization algorithm called FKLVQ. FKLVQ is a batch type of clustering learning network by fusing the batch learn...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
ISNN
2004
Springer
13 years 10 months ago
Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks
This paper presents a preliminary study on the nonlinear approximation capability of feedforward neural networks (FNNs) via a geometric approach. Three simplest FNNs with at most f...
Bao-Gang Hu, Hong-Jie Xing, Yujiu Yang