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检索条件"机构=Image Processing and Pattern Recognition Institute"

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Feature Fusion and Selection for Recognizing Cancer-Related Mutations from Common Polymorphisms

Feature Fusion and Selection for Recognizing Cancer-Related ...

引用

Chinese Conference on pattern recognition (CCPR)

作者： Jian-Bo Lei Jiang-Bo Yin Hong-Bin Shen Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China

Single nucleotide polymorphisms (SNPs) are the most common form of genetic variant in humans, which can be generally classified into disease related mutations and common ones. It has been generally accepted that SNPs caused amino acid substitutions are of particular interest as candidates for affecting susceptibility to complex diseases, such as cancer, which is a serious public issue affecting millions of people worldwide each year. In this study, we have developed an automated and robust method to distinguish cancer-related mutations from common polymorphisms from amino acid sequence, which has a significant meaning for the cancer diagnosis, prognosis and treatment. Multiple different sequential features are extracted and the most important features are finally selected for constructing the prediction model. Experimental results show that an overall 81.07% success rate has been obtained, indicating the proposed method is very promising in the clinical cancer research studies.

关键词： Proteins Cancer Amino acids Feature extraction Support vector machines Databases Accuracy

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Motion segmentation of multiple translating objects using line correspondences

Motion segmentation of multiple translating objects using li...

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Conference on Computer Vision and pattern recognition (CVPR)

作者： Fanhuai Shi Jianhua Wang Jing Zhang Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0769523722

We present an algebraic approach to multibody motion segmentation from line correspondences. Given three perspective views containing multiple linearly moving objects, we demonstrate that after applying a polynomial embedding to the line correspondences, they became related by the so-called multibody line constraint of translational motions. We show how to linearly estimate the multibody trifocal epipole from line-line-line correspondences. The individual trifocal epipoles are then obtained from the derivatives of the multibody line constraint (up to an unknown factor). Given normalized trifocal epipoles, we can use any special clustering technique to obtain the clustering of the motions and the correspondences. The limitations of the proposed algorithm are also discussed. Experimental results on synthetic and real dynamic scenes are presented.

关键词： Motion segmentation Computer vision Layout Motion estimation Cameras pattern recognition Polynomials Clustering algorithms image motion analysis Motion analysis

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Prediction of Protein B-Factor Profile Based on Feature Selection and Kernel Learning

Prediction of Protein B-Factor Profile Based on Feature Sele...

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Chinese Conference on pattern recognition (CCPR)

作者： Xiao-Yong Pan Hong-Bin Shen Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China

B-factor reflects the atom's uncertainty about its average position within a crystal structure and is highly correlated with protein functions. In this article, we propose a novel approach to predict the real value of B-factor. We firstly extract features from the protein sequences and their evolution information, then apply random forest tree to select the important features, which are further inputted to a two-stage support vector regression (SVR) for prediction. Our results have revealed that a systematic analysis of the importance of different features makes us have deep insights into the different contributions of features and is very necessary for developing effective B-factor prediction tools. We thus develop an online Web server, which is freely available at http://***/bioinf/PredBF for academic use.

关键词： Proteins Kernel Amino acids image processing pattern recognition Uncertainty Data mining Feature extraction Regression tree analysis Web server

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Scene change based output rate control strategy for constant bit rate video coding

Scene change based output rate control strategy for constant...

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IEEE International Symposium on Consumer Electronics (ISCE)

作者： Jun Sun Xiangzhong Fang Wemjun Zhang Songyu Yu Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China

By studying the MPEG-2 based output rate control strategy in detail, the mechanism of accurate bit-rate control and rational bit allocation is analyzed. To solve the difficulties of bit-rate control from the drastic c... 详细信息

ISBN: (纸本)0780343719

关键词： Layout Bit rate Video coding Quantization image coding Sun image processing pattern recognition image analysis pattern analysis

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On Determining the Projected Sphere Center and Its Application in Optical Tracking Systems

On Determining the Projected Sphere Center and Its Applicati...

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International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Yinqiang Zheng Yuncai Liu Image Processing and Pattern Recognition Institute Shanghai Jiaotong University Shanghai China

In this article, we explain why and how to identify the projected sphere center, i.e. the projection of the sphere center, in passive-mode based optical tracking systems using infrared reflective spheres as markers. We first present the algebraic representation of the 'deviation', defined by their Euclidian distance in the image coordinate system, between the projected sphere center and the center of the elliptical contour of the sphere's image, and show that the common approximation to substitute the later for the former is not always appropriate in terms of accuracy. Then, we give the projective equation of a sphere in matrix form, thus paving the way for the linear estimation of the projected sphere center. Sufficient experiments indicate that this proposed method enlarges the manipulating volume of the optical tracking system and improves the precision of locating surgical instruments.

关键词： Surgical instruments Biomedical optical imaging Cameras Surgery Matrices Calibration Nonlinear equations Biomedical engineering Biomedical informatics image processing

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Weighted MLS-SVM for approximation of directional derivatives

Weighted MLS-SVM for approximation of directional derivative...

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MIPPR 2005: image Analysis Techniques

作者： Zheng, Sheng Tian, JinWen Liu, Jian China Three Gorges University Yichang 443002 China Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

Based on statistical learning theory, support vector machine (SVM) is a novel type of learning machine, and it contains polynomial, neural network and radial basis function (RBF) as special cases. The mapped least squares support vector machine (MLS-SVM) is a special least square SVM (LS-SVM), which extends the application of the SVM to the image processing. Based on the MLS-SVM, a family of filters for the approximation of partial derivatives of the digital image surface is designed. Prior information (e.g., local dominant orientation) are incorporated in a two dimension weighted function. The weighted MLS-SVM with the radial basis function kernel is applied to design the proposed filters. Exemplary application of the proposed filters to fingerprint image segmentation is also presented.

关键词： Learning systems

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A Novel Facial Localization for Three-dimensional Face Using Multi-level Partition of Unity Implicits

A Novel Facial Localization for Three-dimensional Face Using...

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International Conference on pattern recognition

作者： Yuan Hu Jingqi Yan Wei Li Pengfei Shi Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

This paper presents a novel facial localization method for 3D face in the presence of facial pose and expression variation. An idea of using Multi-level Partition of Unity (MPU) Implicits in a hierarchical way is proposed for reconstruction of face surface. Based on the analysis of curvature features, nose and eyeholes regions can be detected on lower level reconstructed face surface uniquely. Experimental results show that this method is invariant to pose, holes, noise and expression. The overall performance of 99.18% is achieved.

关键词： Face Surface reconstruction Three dimensional displays Nose Approximation methods Shape Surface fitting

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A Study of Geometric Features for Aging Face recognition

A Study of Geometric Features for Aging Face Recognition

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Chinese Conference on pattern recognition (CCPR)

作者： Xiaoqian Chen Pengfei Shi Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

Human facial shapes undergo significant variations from infancy to teenage, while they change limitedly as people age into adulthood. In this paper, facial shapes of males across ages using Euclidean distances are studied and a D-A standard (Distance related to Ages) is proposed for this purpose. Further, we determine the distance features that significantly contribute to the aging face recognition. Experimental results using the MORPH database containing age separated facial images are encouraging and illustrate Euclidean distance features improve the performance of face recognition across ages.

关键词： Support vector machines Face recognition Face Computer vision Principal component analysis Aging Shape

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Robust segmentation of freight containers in train monitoring videos

Robust segmentation of freight containers in train monitorin...

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2009 Workshop on Applications of Computer Vision, WACV 2009

作者： Kong, Qing-Jie Kumar, Avinash Ahuja, Narendra Liu, Yuncai Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL 61801 United States Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781424454976

This paper is about a vision-based system that automatically monitors intermodal freight trains for the quality of how the loads (containers) are placed along the train. An accurate and robust algorithm to segment the foreground of containers in videos of the moving train is indispensable for this purpose. Given a video of a moving train consisting of containers of different types, this paper presents a method exploiting the information in both frequency and spatial domains to segment these containers. This method can accurately segment all types of containers under a variety of background conditions, e.g illumination variations and moving clouds, in the train videos shot by a fixed camera. The accuracy and robustness of the proposed method are substantiated through a large number of experiments on real data of train videos. © 2009 IEEE.

关键词： Containers

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Segmentation of players and team discrimination in soccer videos

Segmentation of players and team discrimination in soccer vi...

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IEEE International Workshop on VLSI Design and Video Technology, IWVDVT

作者： Zhifei Xu Pengfei Shi Institute of image processing and pattern recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0780390059

In this paper, we introduce methods to extract low-level features for soccer video analysis. A new method is proposed to segment players by using a mean distributed color feature. In order to discriminate which team the player belongs to, we use mutual chromatic correlation degree of players to identify team without extracting templates of players in advance. Experimental results are included to show the effectiveness of the method.

关键词： Videos image segmentation Lighting Games Pixel Colored noise Feature extraction image analysis Event detection image processing

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