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| 1 | A NON-PARAMETER BAYESIAN CLASSIFIER FOR FACE RECOGNITION显示文摘A non-parameter Bayesian classifier based on Kernel Density Estimation (KDE)is presented for face recognition, which can be regarded as a weighted Nearest Neighbor (NN)classifier in formation. The class conditional density is estimated by KDE and the bandwidthof the kernel function is estimated by Expectation Maximum (EM) algorithm. Two subspaceanalysis methods-linear Principal Component Analysis (PCA) and Kernel-based PCA (KPCA)are respectively used to extract features, and the proposed method is compared with ProbabilisticReasoning Models (PRM), Nearest Center (NC) and NN classifiers which are widely used in facerecognition systems. The experiments are performed on two benchmarks and the experimentalresults show that the KDE outperforms PRM, NC and NN classifiers. | Liu Qingshan Lu Hanqing Ma Songde (Nat. Lab of Pattern Recognition, Inst. of Automation, Chinese Academy of Sciences, Beijing 100080) | 2003 | Journal of Electronics(China)2003，20，5： | 9 |
| 2 | Automatic Change Detection from SAR Images Based on Fuzzy Entropy Principle显示文摘 | PAN Chunhong PRINET Veronique YANG Qing MA Songde | 2007 | Chinese Journal of Electronics2007，16，1： | 4 |
| 3 | A Review of Content-Based Parsing and Retrieving for Image and Video 显示文摘 | Lu Han-qing Kong Wei-xin Liao Ming Ma Songde | 2008 | Acta Automatic Silica2008，21，1： | 1 |
| 4 | , Improving Kernel Fisher Discriminant Analysis for Face Recognition 显示文摘 | Qingshan Liu Hanqing Lu and Songde Ma | 2004 | IEEE Trans on Circuits and Sistems for Video Technlogy2004，14，1： | 1 |
| 5 | Environment quality and development:is there a Kuznrets curve for air pollution emission显示文摘 | SELDENTM SONGD | 2000 | Journal of Environmental Economics and Management2000，27，： | 1 |
| 6 | Porcineepidemicdiarrhoeavirus:acompre-hensivereviewofmolecularepidemiology,diagnosis,andvac-cines显示文摘 | SongD ParkB | 2012 | VirusGenes2012，44，： | 1 |
| 7 | Association of cerebral microbleeds with mortality in stroke patients having atrial fibrillation显示文摘 | SongTJ KimJ SongD | 2014 | Neurology2014，83，13： | 1 |
| 8 | A self-calibration technique for active vision system显示文摘 | MA Songde | 1996 | IEEE Transactions on Robotics and Automation1996，12，1： | 1 |
| 9 | Region based parametric motion representation显示文摘 | Changbo Hu Yi Li Songde Ma | 2000 | Pattern Recognition2000，3，： | 1 |
| 10 | Bayesian learning,global competition'and unsupervised image segmentation 显示文摘 | Guodong Guo Songde Ma | 2000 | PRL2000，21，2： | 1 |
| 11 | A new method of surface modelling and its application to DEM construction显示文摘 | YueTX DuZ Pand SongD J | 2007 | Geomorphology2007，91，12： | 1 |
| 12 | On a new kind of 2 -periodic trigonometric interpolation显示文摘 | Tianzi Jiang Songde Ma | 1996 | Applications of Mathematics1996，6，： | 1 |
| 13 | A self-calibration technique for active vision system显示文摘 | SONGDE M | 1996 | IEEE Transactions on Robotics and Automation1996，12，： | 1 |
| 14 | A self-calibration technique for active vision system 显示文摘 | Ma Songde | 1996 | IEEE Transaction on Robotics and Automation1996，12，1： | 1 |
| 15 | Implicit and explicit camera calibration:theory and experiments显示文摘 | Wei Guoqing Ma Songde | 1994 | IEEE Transactions on Pattern Analysis and Machine Intelligence1994，，5： | 1 |
| 16 | A self-calibration technique for active vision systems 显示文摘 | MA Songde | 1996 | IEEE Transactions on Robotics and Automation (S1042-296X)1996，12，1： | 1 |
| 17 | Ultracompact meta-imagers for arbitrary all-optical convolution显示文摘Electronic digital convolutions could extract key features of objects for data processing and information identification in artificial intelligence,but they are time-cost and energy consumption due to the low response of electrons.Although massless photons enable high-speed and low-loss analog convolutions,two existing all-optical approaches including Fourier fItering and Green's function have either limited functionality or bulky volume,thus restricting their applications in smart systems.Here,we report aloptical convolutional computing with a metasurface-singlet or-doublet imager,considered as the third approach,where its point spread function is modified arbitrarily via a complex-amplitude meta-modulator that enables functionality-unlimited kernels.Beyond one-and two-dimensional spatial differentiation,we demonstrate real-time,parallel,and analog convolutional processing of optical and biological specimens with challenging pepper-salt denoising and edge enhancement,which significantly enrich the toolkit of all-optical computing.Such meta-imager approach bridges multi-functionality and high-integration in all-optical convolutions,meanwhile possessing good architecture compatibility with digital convolutional neural networks. | Weiwei Fu Dong Zhao Ziqin Li Songde Liu Chao Tian Kun Huang | 2022 | Light(Science & Applications)2022，11，4： | 1 |
| 18 | SAR image de-speckling based on modified frost filter显示文摘 | Zhang Zhaohui Pan Chunhong Ma Songde | 2005 | Journal of Image and Graphics2005，10，4： | 1 |
| 19 | Corrosionbehaviorofequal-channel-angularpressedpuremagnesiuminNaClaqueoussolution显示文摘 | SongD MaAB JiangJ eta1 | 2010 | CorrosionScience2010，52，2： | 1 |
| 20 | A list-processing approach to compute Voronio diagrams and the Euclidean distance transform显示文摘 | Guan Weiguang Ma Songde | 1998 | IEEE Transactions on Pattern Analysis and Machine Intelligence1998，20，7： | 1 |
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