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	Atom Decomposition with Adaptive Basis Selection Strategy for Matrix Completion 期刊论文 OAI收割 acm transactions on multimedia computing communications and applications, 2016, 卷号: 12, 期号: 3 作者: Hu, Yao; Zhao, Chen; Cai, Deng; He, Xiaofei; Li, Xuelong 收藏 \| 浏览/下载：38/0 \| 提交时间：2016/09/23 Algorithms Experimentation Matrix completion atom decomposition basis selection
	Toward creating simpler hydrological models: A LASSO subset selection approach SCI/SSCI论文 OAI收割 2015 作者: Bardsley W. E.; Vetrova, V.; Liu, S. 收藏 \| 浏览/下载：43/0 \| 提交时间：2015/12/09 Model simplification Linear basis functions Linear LASSO Subset selection Finite mixture distributions Linear programming Runoff model Groundwater model environmental systems regression shrinkage variable selection stable estimator unit-hydrograph linear-models complexity uncertainty calibration simplicity
	Multiscaled exploration of coupled folding and binding of an intrinsically disordered molecular recognition element in measles virus nucleoprotein 期刊论文 OAI收割 proceedings of the national academy of sciences of the united states of america, 2013, 卷号: 110, 期号: 40, 页码: e3743-e3752 Wang Y; Chu XK; Longhi S; Roche P; Han W; Wang EK; Wang J 收藏 \| 浏览/下载：24/0 \| 提交时间：2014/04/15 C-TERMINAL DOMAIN TRANSITION-STATE ENSEMBLE FLY-CASTING MECHANISM CONFORMATIONAL SELECTION STRUCTURAL DISORDER ENERGY LANDSCAPE EPR SPECTROSCOPY PHYSICAL BASIS RATE CONSTANTS FORCE-FIELD
	Classification of hyperspectral image based on SVM optimized by a new particle swarm optimization (EI CONFERENCE) 会议论文 OAI收割 2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China 作者: Gao X.; Yu P.; Yu P. 收藏 \| 浏览/下载：22/0 \| 提交时间：2013/03/25 Support Vector Machine (SVM) is used to classify hyperspectral remote sensing image in this paper. Radial Basis Function (RBF) which is most widely used is chosen as the kernel function of SVM. Selection of kernel function parameter is a pivotal factor which influences the performance of SVM. For this reason Particle Swarm Optimization (PSO) is provided to get a better result. In order to improve the optimization efficiency of kernel function parameter firstly larger steps of grid search method is used to find the appropriate rang of parameter. Since the PSO tends to be trapped into local optimal solutions a weight and mutation particle swam optimization algorithm was proposed in which the weight dynamically changes with a liner rule and the global best particle mutates per iteration to optimize the parameters of RBF-SVM. At last a 220-bands hyperspectral remote sensing image of AVIRIS is taken as an experiment which demonstrates that the method this paper proposed is an effective way to search the SVM parameters and is available in improving the performance of SVM classifiers. 2012 IEEE.
	图像序列中的光流估计与运动分割学位论文 OAI收割工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2010 马东民收藏 \| 浏览/下载：52/0 \| 提交时间：2015/09/02 统计学习模型马尔科夫随机场 RBF模型约束函数选择运动分割图像序列 statistical modeling markov random field radial basis function neural network motion selection motion segmentation image sequence
	Study of removing striping noise in CCD image (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Liu H.; Liu H. 收藏 \| 浏览/下载：17/0 \| 提交时间：2013/03/25 Striping noise is the common system noise during formation of image using linear array CCD and has the character of periodicity directivity and banding distributing. It can be caused by errors in internal calibration devices or by slight gain/offset differences among the elements that conform the array of detectors. Striping noise covers up useful information in CCD image and brings adverse effect to image interpretation. On the basis of analyzing wavelet decomposed coefficient the regularities of distribution about striping noise in wavelet coefficient is found thereby the method of wavelet threshold selection which is suitable to striping noise distribution is put forward. According to Donoho's method about denoising using wavelet the image including striping noise is processed. Comparing the power spectrum of processed image with the one of original image polluted by striping noise in frequency field we find pulse brought by striping noise is removed and the goal which reserves image details and reduces stripes is achieved.
	A new synchronization control circuit based on CPLD for the laser range-gated imaging system (EI CONFERENCE) 会议论文 OAI收割 ICO20: Lasers and Laser Technologies, August 21, 2005 - August 26, 2005, Changchun, China 作者: Guo J.; Guo J.; Wang X.; Wang X.; Wang X. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 The synchronization control technique is one of the most key techniques in the laser range gated (LRG) imaging system. Conventional control circuits are composed of discrete components and Medium Scale Integration (MSI) and Small Scale Integration (SSI) which have bad reliability and poor ability of anti-interference. The idea of using the Complex Programmable Logic Device (CPLD) to realize the monostable trigger circuit is introduced. On the basis of analyzing the performance requirement to the synchronization control of the laser range gated imaging system a new synchronization control circuit based on CPLD is presented. The circuit based on CPLD is very compact and flexible and has high reliability and strong ability of anti-interference. The synchronization control circuit based on CPLD can provide a wide selection of gate widths pulse widths and delays. The synchronization control circuit is successfully used in our experiment and the expected result is obtained.