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Outlier detecting in fuzzy switching regression models

11th International Conference on Artificial Intelligence: Methodology, Systems and Applications, AIMSA 2004

作者： Shen, Hong-Bin Yang, Jie Wang, Shi-Tong Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai200030 China Dept. of Information Southern Yangtse University Jiangsu214036 China

ISBN: (纸本)9783540229599

Fuzzy switching regression models have been extensively used in economics and data mining research. We present a new algorithm named FCWRM (Fuzzy C Weighted Regression Model) to detect the outliers in fuzzy switching regression models while preserving the merits of FCRM algorithm proposed by Hathaway. The theoretic analysis shows that FCWRM can converge to a local minimum of the object function. Several numeric examples demonstrate the effectiveness of algorithm FCWRM. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Data mining

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Small target detection using an optimization-based filter 40

Small target detection using an optimization-based filter

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40th IEEE International Conference on Acoustics, Speech, and Signal processing, ICASSP 2015

作者： Xie, Kai Fu, Keren Zhou, Tao Yang, Jie Wu, Qiang He, Xiangjian Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China School of Computing and Communications University of Technology Sydney Australia

ISBN: (纸本)9781467369978

Small target detection is a critical problem in the Infrared Search And Track (IRST) system. Although it has been studied for years, there are some challenges remained, e.g. cloud edges and horizontal lines are likely to cause false alarms. This paper proposes a novel method using an optimization-based filter to detect infrared small target in heavy clutter. First, we design a certain pixel area as active area. Second, a weighted quadratic cost function is performed in the active area. Finally, a filter based on statistics of active area is derived from the cost function. Our method could preserve heterogeneous area, meanwhile, remove target region. Experimental results show our method achieves satisfied performance in heavy clutter. © 2015 IEEE.

关键词： active area area statistics heavy clutter optimization-based filter small target detection

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PCA for predicting quaternary structure of protein

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Frontiers of Electrical and Electronic Engineering in china 2008年第4期3卷 376-380页

作者： Tong WANG Hongbin SHEN Lixiu YAO Jie YANG Kuochen CHOU Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong UniversityShanghai 200240China Gordon Life Science Institute San DiegoCA 92130USA

The number and arrangement of subunits that form a protein are referred to as quaternary *** the quaternary structure of an uncharacterized protein provides clues to finding its biological function and interaction process with other molecules in a biological *** the explosion of protein sequences generated in the Post-Genomic Age,it is vital to develop an automated method to deal with such a *** explore this prob-lem,we adopted an approach based on the pseudo position-specific score matrix(Pse-PSSM)descriptor,proposed by Chou and Shen,representing a protein *** Pse-PSSM descriptor is advantageous in that it can combine the evolution information and sequence-correlated ***,incorporating all these effects into a descriptor may cause‘high dimension disaster’.To over-come such a problem,the fusion approach was adopted by Chou and Shen.A completely different approach,linear dimensionality reduction algorithm principal component analysis(PCA)is introduced to extract key features from the high-dimensional Pse-PSSM *** obtained dimension-reduced descriptor vector is a compact repre-sentation of the original high dimensional *** jack-knife test results indicate that the dimensionality reduction approach is efficient in coping with complicated problems in biological systems,such as predicting the quaternary struc-ture of proteins.

关键词： principal component analysis(PCA) qua-ternary structure of protein pseudo position-specific score matrix(Pse-PSSM) dimension reduction method

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An effective document image deblurring algorithm

An effective document image deblurring algorithm

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作者： Chen, Xiaogang He, Xiangjian Yang, Jie Wu, Qiang Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China Centre for Innovation in IT Services and Applications University of Technology Sydney Australia Key Laboratory of System Control and Information Processing Ministry of Education China

ISBN: (纸本)9781457703942

Deblurring camera-based document image is an important task in digital document processing, since it can improve both the accuracy of optical character recognition systems and the visual quality of document images. Traditional deblurring algorithms have been proposed to work for natural-scene images. However the natural-scene images are not consistent with document images. In this paper, the distinct characteristics of document images are investigated. We propose a content-aware prior for document image deblurring. It is based on document image foreground segmentation. Besides, an upper-bound constraint combined with total variation based method is proposed to suppress the rings in the deblurred image. Comparing with the traditional general purpose deblurring methods, the proposed deblurring algorithm can produce more pleasing results on document images. Encouraging experimental results demonstrate the efficacy of the proposed method. © 2011 IEEE.

关键词： image enhancement

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Supervised recurrent hashing for large scale video retrieval 16

Supervised recurrent hashing for large scale video retrieval

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24th ACM Multimedia Conference, MM 2016

作者： Gu, Yun Ma, Chao Yang, Jie School of Biomedical Engineering Shanghai Jiao Tong University Shanghai China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781450336031

Hashing for large-scale multimedia is a popular research topic, attracting much attention in computer vision and visual information retrieval. Previous works mostly focus on hashing the images and texts while the approaches designed for videos are limited. In this paper, we propose a Supervised Recurrent Hashing (SRH) that explores the discriminative representation obtained by deep neural networks to design hashing approaches. The long-short term memory (LSTM) network is deployed to model the structure of video samples. The max-pooling mechanism is introduced to embedding the frames into fixed-length representations that are fed into supervised hashing loss. Experiments on UCF-101 dataset demonstrate that the proposed method can significantly outperforms several state-of-the-art methods. © 2016 ACM.

关键词： Long short-term memory

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An implementation of postal numerals segmentation and recognition system for Chinese business letters 5

An implementation of postal numerals segmentation and recogn...

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5th International Conference on Document Analysis and recognition, ICDAR 1999

作者： Lu, Yue Shi, Pengfei Wu, Jianzhong Rui, Jianming Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai200030 China Third Research Institute Ministry of Post and Telecommunication Shanghai200062 China

ISBN: (纸本)0769503187

In this paper, a practical postal numeral segmentation and recognition system for Chinese business letters is presented. Line information for the address blocks is gained from the envelope image by projection, then the sub-image of the postal numerals is segmented. The numerals are recognized by three independent classifiers, and their results are combined to form final results. An improved voting principle based on a priori knowledge of each classifier is utilized to combine multiple classifiers in order to achieve perfect performance for high recognition rate and low error rate. The recognition ability of each classifier, acting with the voting principle, is obtained by statistics for a large set of samples. Different thresholds gained by training are employed for different classes, which can yield better results. A parallel structure hardware is designed to implement a real-time image processing system. The performance of the system is shown to be satisfactory, sufficient for the requirements of practical use. © 1999 IEEE.

关键词： Real time systems

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MRI brain tumor segmentation based on improved fuzzy c-means method

MRI brain tumor segmentation based on improved fuzzy c-means...

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MIPPR 2009 - Medical Imaging, Parallel processing of images, and Optimization Techniques: 6th International Symposium on Multispectral image processing and pattern recognition

作者： Deng, Wankai Xiao, Wei Pan, Chao Liu, Jianguo Key Laboratory of Education Ministry for Image Processing and Intelligence Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei 430074 China

ISBN: (纸本)9780819478085

This paper focuses on the image segmentation, which is one of the key problems in medical image processing. A new medical image segmentation method is proposed based on fuzzy c- means algorithm and spatial information. Firstly, we classify the image into the region of interest and background using fuzzy c means algorithm. Then we use the information of the tissues' gradient and the intensity inhomogeneities of regions to improve the quality of segmentation. The sum of the mean variance in the region and the reciprocal of the mean gradient along the edge of the region are chosen as an objective function. The minimum of the sum is optimum result. The result shows that the clustering segmentation algorithm is effective. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Clustering algorithms

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A DSP/FPGA -based parallel architecture for real-time image processing

A DSP/FPGA -based parallel architecture for real-time image ...

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6th World Congress on Intelligent Control and Automation, WCICA 2006

作者： Luxin, Yan Tianxu, Zhang Sheng, Zhong Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)1424403324

DSP/FPGA-based parallel architecture oriented to real-time image processing applications is presented. The architecture is structured with high performance DSPs interconnected by FPGA. Within FPGA a FIFO interconnection network and the specific data communication protocol are implemented, which interconnect 3 DSPs (TMS320C6414) effectively. The measured performances in the prototype with the proposed parallel architecture, including inter-DSP data communication performance and system computing capacity, show high data transfer bandwidth (up to 400 Mbytes/s) with low latency as well as high image processing performance, which achieve a good balance for parallel image processing. © 2006 IEEE.

关键词： Digital signal processing

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Robust Watermarking Scheme with Side Information and Template Matching Mechanism

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High technology Letters 2004年第2期10卷 30-33页

作者：郭捷 Fang Tao Shi Pengfei Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai 200030 P.R.China The State Key Laboratory of Information Security Chinese Academy of Sciences Beijing 100039 P.R.China

Digital watermarking has been proposed for the copyright protections of multimedia products. In this paper, a robust and blind watermarking scheme is presented. The concept of communication with side information is applied at the encoder to improve the probability of detection within acceptable fidelity, while the template matching technique is employed to estimate the undergone attacks in attacking channel. This scheme is optimized by the optimal design of the encoder to match with the media content and the decoder to adapt to the attack channel state. Experiments show that our method is robust against some common attacks such as filtering, compression, rotation, scaling, cropping and translation. It can be applied to both color and gray images.

关键词：数字水印边缘信息模板匹配多媒体水印嵌入

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A New Head Pose Estimation Method Using Vision Transformer Model 2021

A New Head Pose Estimation Method Using Vision Transformer M...

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7th International Conference on Computing and Artificial Intelligence, ICCAI 2021

作者： Ling, Xufeng Wang, Dong Yang, Jie Shanghai Normal University Tianhua College Ai School No. 1661 North Sheng Xin Road China Institute of Image Processing and Pattern Recognition Shanghai Normal University Tianhua College China

ISBN: (纸本)9781450389501

In this paper, a self-attention-based Vision Transformer (VIT) method is introduced into estimate human head pose parameters. Firstly, the head pose image is divided into 32X32 patches, each image patch is regarded as a word, and the whole image is treated as a paragraph composed of n words by the VIT. image recognition can be regarded as the semantic recognition of this paragraph. Next, we redesign the regression VIT to estimate the parameters. Then we select Head Pose Database as the training and validation dataset. The VIT is trained on the enhanced and normalized dataset. Finally, the trained VIT is used to regress the head pose parameters on testing samples. Experimental results show that VIT has high accuracy and good generalization ability for head pose estimation. © 2021 ACM.

关键词： image recognition

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