International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003最新文献_第6页

Solving convex quadratic programming problems by an modified neural network with exponential convergence 用指数收敛的改进神经网络求解凸二次规划问题

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1279271

Youshen Xia, G. Feng

引用次数: 3

Passive tracking based on data association with information fusion of multi-feature and multi-target 基于多特征、多目标信息融合的数据关联被动跟踪

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1279367

Wang Jie-gui, Luo Jing-qing, Lv Jiu-ming

引用次数: 9

Model selection for support vector machines using an asynchronous parallel evolution strategy 基于异步并行进化策略的支持向量机模型选择

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1279319

T. Runarsson, S. Sigurdsson

引用次数: 3

A novel joint estimator of direction-of-arrival and time-delay for multiple source localization 一种新的多源定位的到达方向和时延联合估计方法

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281108

Hongfeng Qin, Jianguo Huang, Qunfei Zhang

引用次数: 5

Impulse force based ART network with GA optimization 基于冲力的ART网络遗传算法优化

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1279320

Hui Liu, Yue Liu, Jian Liu, Bofeng Zhang, Gengfeng Wu

引用次数: 11

Fourth-order cyclic cumulant TLS-ESPRIT algorithm to estimate direction of cyclostationary coherent sources 四阶循环累积量TLS-ESPRIT算法估计周期平稳相干源方向

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281117

Hong Jiang, Shuxun Wang

引用次数: 2

Non-uniform light field compression: a geometry-based method for image processing 非均匀光场压缩:一种基于几何的图像处理方法

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281051

W. Wendong, Yin Baocai, Kong Ddehui

引用次数: 2

A wavelet constrained POCS supperresolution algorithm for high resolution image reconstruction from video sequence 基于小波约束的POCS超分辨率视频序列图像重建算法

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281101

B. Tian, J. T. Hsu, Qiang Liu, Ching-Chung Li, R. Sclabassi, Mingui Sun

引用次数: 6

Lagrange constrained neural network-based approach to hyperspectral remote sensing image classification 基于拉格朗日约束神经网络的高光谱遥感图像分类方法

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1279263

Q. Du, H. Szu, J. Buss

{"title":"Lagrange constrained neural network-based approach to hyperspectral remote sensing image classification","authors":"Q. Du, H. Szu, J. Buss","doi":"10.1109/ICNNSP.2003.1279263","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1279263","url":null,"abstract":"Lagrange constrained neural network (LCNN) was an unsupervised technique that can simultaneously estimate the endmembers and their abundance fractions in a remotely sensed image without any prior information. The network outputs corresponded to the estimated abundance fraction images (AFI), which displayed the distribution of the endmember materials in an image scene. Two constraints were universally imposed to the network outputs, one was the sum-to-one constraint and the other was the non-negativity constraint. One more data-specific constraint was to minimize the Lagrange linear estimation error vector E = /spl lambda/(As - x). Together they described the thermodynamics equilibrium of the Earth open system in the incoming and outgoing radiation fields. Thus, we adopted the thermodynamic Helmholtz free energy and seek the maximum value of a contrast function for the most likelihood solution. When such an LCNN was applied to hyperspectral remotely sensed images, the number of AFIs was equal to the number of bands because of its unbiased and unsupervised structure. So the resulting AFIs might be highly correlated and visually similar. A two-stage post-processing approach could be followed to facilitate the data assessment.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124576985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An information retrieval system based on automatic query expansion and Hopfield network 基于自动查询扩展和Hopfield网络的信息检索系统

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281192

Xiao Sheng, Minghu Jiang

引用次数: 8