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	SONC optimization and exact nonnegativity certificates via second-order cone programming 期刊论文 OAI收割 JOURNAL OF SYMBOLIC COMPUTATION, 2023, 卷号: 115, 页码: 346-370 作者: Magron, Victor; Wang, Jie \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2023/02/07 Sum of nonnegative circuit polynomials Second -order cone programming Polynomial optimization Sum of binomial squares Rounding -projection algorithm Exact nonnegativity certificate
	A new fast search algorithm for exact k-nearest neighbors based on optimal triangle-inequality-based check strategy 期刊论文 OAI收割 KNOWLEDGE-BASED SYSTEMS, 2020, 卷号: 189, 页码: 11 作者: Pan, Yiwei; Pan, Zhibin; Wang, Yikun; Wang, Wei \| 收藏 \| 浏览/下载：52/0 \| 提交时间：2020/03/30 Exact k-nearest neighbors Fast search algorithm Clustering Triangle inequality Optimal check strategy
	Adaptive Exact Penalty Design for Constrained Distributed Optimization 期刊论文 OAI收割 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 卷号: 64, 期号: 11, 页码: 4661-4667 作者: Zhou, Hongbing; Zeng, Xianlin; Hong, Yiguang \| 收藏 \| 浏览/下载：50/0 \| 提交时间：2020/05/24 Optimization Distributed algorithms Linear programming Convex functions Adaptive control Convergence Adaptive algorithms Adaptive algorithm convex and nondifferentiable function distributed optimization exact penalty method
	Definition and algorithms for reliable steiner tree problem 期刊论文 iSwitch采集 Journal of systems science & complexity, 2015, 卷号: 28, 期号: 4, 页码: 876-886 作者: Tang Yaohua; Yang Wenguo; Guo Tiande 收藏 \| 浏览/下载：30/0 \| 提交时间：2019/05/10 Approximation algorithm Exact algorithm Reliability Steiner tree
	A message-passing approach to random constraint satisfaction problems with growing domains 期刊论文 OAI收割 JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2011, 期号: , 页码: P02019 作者: Zhou, HJ* 收藏 \| 浏览/下载：48/0 \| 提交时间：2013/05/17 EXACT PHASE-TRANSITIONS RANDOM K-SAT SATISFIABILITY THRESHOLD ALGORITHM
	Two noniterative algorithms for computing posteriors 期刊论文 OAI收割 COMPUTATIONAL STATISTICS, 2008, 卷号: 23, 期号: 3, 页码: 443-453 作者: Yang, Jun; Zou, Guohua; Zhao, Yu \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2018/07/30 Bayesian computation data augmentation EM algorithm inverse Bayes formula sampling/importance resampling PMDA-Exact
	Lossless wavelet compression on medical image (EI CONFERENCE) 会议论文 OAI收割 4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005, Tianjin, China 作者: Liu H.; Liu H.; Liu H. 收藏 \| 浏览/下载：51/0 \| 提交时间：2013/03/25 An increasing number of medical imagery is created directly in digital form. Such as Clinical image Archiving and Communication Systems (PACS). as well as telemedicine networks require the storage and transmission of this huge amount of medical image data. Efficient compression of these data is crucial. Several lossless and lossy techniques for the compression of the data have been proposed. Lossless techniques allow exact reconstruction of the original imagery while lossy techniques aim to achieve high compression ratios by allowing some acceptable degradation in the image. Lossless compression does not degrade the image thus facilitating accurate diagnosis of course at the expense of higher bit rates i.e. lower compression ratios. Various methods both for lossy (irreversible) and lossless (reversible) image compression are proposed in the literature. The recent advances in the lossy compression techniques include different methods such as vector quantization wavelet coding neural networks and fractal coding. Although these methods can achieve high compression ratios (of the order 50:1 or even more) they do not allow reconstructing exactly the original version of the input data. Lossless compression techniques permit the perfect reconstruction of the original image but the achievable compression ratios are only of the order 2:1 up to 4:1. In our paper we use a kind of lifting scheme to generate truly loss-less non-linear integer-to-integer wavelet transforms. At the same time we exploit the coding algorithm producing an embedded code has the property that the bits in the bit stream are generated in order of importance so that all the low rate codes are included at the beginning of the bit stream. Typically the encoding process stops when the target bit rate is met. Similarly the decoder can interrupt the decoding process at any point in the bil stream and still reconstruct the image. Therefore a compression scheme generating an embedded code can start sending over the network the coarser version of the image first and continues with the progressive transmission of the refinement details. Experimental results show that our method can get a perfect performance in compression ratio and reconstructive image.
	Multiwavelet based multispectral image fusion for corona detection (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang X.; Yang H.-J.; Sui Y.-X.; Yan F.; Yan F. 收藏 \| 浏览/下载：33/0 \| 提交时间：2013/03/25 Image fusion refers to the integration of complementary information provided by various sensors such that the new images are more useful for human or machine perception. Multiwavelet transform has simultaneous orthogonality symmetry compact support and vanishing moment which are not possible with scalar wavelet transform. Multiwavelet analysis can offer more precise image analysis than wavelet multiresolution analysis. In this paper a new image fusion algorithm based on discrete multiwavelet transform (DMWT) to fuse the dual-spectral images generated from the corona detection system is presented. The dual-spectrum detection system is used to detect the corona and indicate its exact location. The system combines a solar-blind UV ICCD with a visible camera where the UV image is useful for detecting UV emission from corona and the visible image shows the position of the corona. The developed fusion algorithm is proposed considering the feature of the UV and visible images adequately. The source images are performed at the pixel level. First a decomposition step is taken with the DMWT. After the decomposition step a pyramid for each source image in each level can be obtained. Then an optimized coefficient fusion rule consisting of activity level measurement coefficient combining and consistency verification is used to acquire the fused coefficients. This process reduces the impulse noise of UV image. Finally a new fused image is obtained by reconstructing the fused coefficients using inverse DMWT. This image fusion algorithm has been applied to process the multispectral UV/visible images. Experimental results show that the proposed method outperforms the discrete wavelet transform based approach.