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| 1 | A generalized power iteration method for solving quadratic problem on the Stiefel manifold显示文摘In this paper, we first propose a novel generalized power iteration(GPI) method to solve the quadratic problem on the Stiefel manifold(QPSM) as minWTW =ITr(WTAW-2WTB) along with the theoretical analysis. Accordingly, its special case known as the orthogonal least square regression(OLSR) is under further investigation. Based on the aforementioned studies, we then majorly focus on solving the unbalanced orthogonal procrustes problem(UOPP). As a result, not only a general convergent algorithm is derived theoretically but the efficiency of the proposed approach is verified empirically as well. | Feiping NIE Rui ZHANG Xuelong LI | 2017 | Science China(Information Sciences)2017，60，11： | 11 |
| 2 | Ultrasensitive flexible broadband photodetectors achieving pA scale dark current显示文摘Organolead halide perovskite is a newly emerging low-cost,solution-processable material with a broadband absorption from the ultraviolet(UV)to visible(Vis)region,which has attracted a great deal of interest in high-performance optoelectronic devices.However,some practicable applications need a cover of UV–Vis–NIR region for photoelectric conversion,a task that remains a significant challenge for further extending the absorption toward the near-infrared radiation(NIR)region.Here,to the best of our knowledge,we prove for the first time an ultrasensitive flexible broadband photodetector based on porous organolead perovskitephthalocyanine heterostructure,which combines the synergetic properties of high UV–Vis absorbance of perovskite with enhanced NIR absorption for triclinic lead phthalocyanine.The photosensitivity of the as-prepared devices reaches up to 10^(4) at a low intensity of 10mWcm^(−2),which is among the largest values reported for broadband photodetectors.Significantly,performed at room temperature,the device achieves a pA scale dark current along with an ultrafast response speed of less than 0.6 ms for as-adopted full spectra.Our results provide an easy and promising route to develop low-cost,flexible and highly sensitive UV–Vis–NIR photodetectors. | Xiao Luo Feiyu Zhao Lili Du Wenli Lv Kun Xu Yingquan Peng Ying Wang Feiping Lu | 2017 | npj Flexible Electronics2017，1，1： | 2 |
| 3 | Semi-supervised dimension reduction using trace ratio criterion显示文摘 | HUANG Heng XU Dong NIE Feiping | 2012 | IEEE Transactions on Neural Network Learning System2012，23，3： | 1 |
| 4 | A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback显示文摘 | Yi Yang Feiping Nie Dong Xu | 2012 | IEEE transactions on pattern analysis and machine intelligence2012，34，4： | 1 |
| 5 | Learning a Mahalanobis distance metric for data clustering and classifica- tion显示文摘 | Xiang Shiming Nie Feiping Zhang Changshui | 2008 | Pattern Recognition2008，41，12： | 1 |
| 6 | Learning a Ma- halanobis Distance Metric for Data Clustering and Classi- fication显示文摘 | Xiang Shiming Nie Feiping Zhang Changshui | 2008 | Pattern Recognition2008，41，12： | 1 |
| 7 | A unified framework for semi-supervised dimensionality reduction显示文摘 | Yangqiu Song Feiping Nie Changshui Zhang Shiming Xiang | 2008 | Pattern Recognition2008，，9： | 1 |
| 8 | Semi-supervised sub-manifold discriminant analysis显示文摘 | Yangqiu Song Feiping Nie Changshui Zhang | 2008 | Pattern Recognition Letters2008，，13： | 1 |
| 9 | Learning a Mahalanobis Distance Metric for Data Clustering and Classification显示文摘 | Xiang Shiming Nie Feiping Zhang Changshui | | 0，，12： | 1 |
| 10 | 3d Human Pose Recovery from Image by Efficient Visual Feature Selection 显示文摘 | Chen Cheng Yang Yi Nie Feiping | 2011 | Computer Vision and Image Understanding2011，115，3： | 1 |
| 11 | Semi- supervised Sub-manifold Discriminant Analysis 显示文摘 | Song Yangqiu Nie Feiping Zhang Changshui | 2008 | Pattern Recognition Letters2008，29，13： | 1 |
| 12 | Nonlinear dimensional- iN reduction with local spline embedding 显示文摘 | X1ANG SHIMING NIE FEIPING ZHANG CHANGSHUI | 2009 | IEEE Transactions on Knowledge and Data Engineering2009，21，9： | 1 |
| 13 | Laboratory investigation of engineering properties of rubberized asphalt mixtures containing reclaimed asphalt pavement 显示文摘 | XIAO Feiping AMIRKHANIAN S PUTMAN B | 2010 | Can J Civ Eng2010，37，11： | 1 |
| 14 | Enantioselective extraction of ofloxacin enantiomers using ester alcohol L-tartarate as chiral selector显示文摘 | JIAO Feiping CHEN Xiaoqing JIANG Xinyu | 2009 | Iran Journal of Chemistry and Chemical Engineering2009，28，1： | 1 |
| 15 | Cloning and expression of multiple integral membrane proteins from My cobacterium tuberculosis in Escherichia coli显示文摘 | Alia K Feip G Yuanzi H | 2005 | Protein Sci2005，14，： | 1 |
| 16 | Learning a Mahalanobis distance metric for data clustering a classification显示文摘 | XIANG Shiming NIE Feiping ZHANG Changshui | 2008 | Pattern Recognition2008，41，12： | 1 |
| 17 | Discriminative least squares regression for multiclass classification and feature selection显示文摘 | Xiang Shiming Nie Feiping Meng Gaofeng Pan Chunhong Zhang Changshui | | 0，，： | 1 |
| 18 | Semi- supervised classification via local spline regression 显示文摘 | XIANG SHIMING NIE FEIPING ZHANG CHANGSHUI | 2010 | IEEETransactions on Pattern Analysis and Machine Intelligence2010，32，11： | 1 |
| 19 | Ranking with Adaptive Neighbors显示文摘Retrieving the most similar objects in a large-scale database for a given query is a fundamental building block in many application domains, ranging from web searches, visual, cross media, to document retrievals. Stateof-the-art approaches have mainly focused on capturing the underlying geometry of the data manifolds. Graphbased approaches, in particular, define various diffusion processes on weighted data graphs. Despite success,these approaches rely on fixed-weight graphs, making ranking sensitive to the input affinity matrix. In this study,we propose a new ranking algorithm that simultaneously learns the data affinity matrix and the ranking scores.The proposed optimization formulation assigns adaptive neighbors to each point in the data based on the local connectivity, and the smoothness constraint assigns similar ranking scores to similar data points. We develop a novel and efficient algorithm to solve the optimization problem. Evaluations using synthetic and real datasets suggest that the proposed algorithm can outperform the existing methods. | Muge Li Liangyue Li Feiping Nie | 2017 | Tsinghua Science and Technology2017，22，6： | 1 |
| 20 | A Case Study of Foreign Direct Investment in Cental America显示文摘 | Feipe Larrain B | 2002 | OECD Development Centre2002，，： | 1 |
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