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Neighborhood components analysis in sEMG signal dimensionality reduction for gait phase pattern recognition

Neighborhood components analysis in sEMG signal dimensionali...

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6th international conference on Broadband Communications and Biomedical Applications, IB2COM 2011

作者： Manit, Jirapong Youngkong, Prakarnkiat Institute of Field Robotics King Mongkut's University of Technology Thonburi Bangkok Thailand

ISBN: (纸本)9781467307680

Dimensionality reduction technique is an essential method for sEMG signal pattern recognition and classification, especially for real-time application such as prosthesis control. this technique can reduce the high dimension extracted feature into a lower dimension space feature which help the classifier works more properly. this paper presents an application of a dimensionality reduction technique called neighborhood components analysis (NCA). We evaluate the efficiency of NCA by comparing its class separability and the classification accuracy with other three algorithms: principle component analysis (PCA), linear discriminant analysis (LDA) and local preserving projection (LPP). the result shows that NCA outperform other algorithm in the class separability, and its classification accuracy is also slightly higher. © 2011 IEEE.

关键词： Electromyography

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A visual aid system for the blind based on RFID and fast symbol recognition

A visual aid system for the blind based on RFID and fast sym...

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2011 6th international conference on Pervasive Computing and Applications, ICPCA 2011

作者： Tang, Xiong Chen, Yuanfei Zhu, Zhenmin Lu, Xiaowen Institute OjComputing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781457702082

the blind can only get perceptive and audio information, which bring them huge barriers to action. Mobile devices could provide the blind great help. However, because of limited computation capacity of mobile device, many existing visual augmentation scheme can't be migrated to embedded system. In this paper, we propose a kind of simple blind symbol and a visual aid system (VAS) for the visually impaired people. VAS is based on fast symbol recognition algorithm and RFID technology, which achieves good performance in embedded devices. VAS perceives all blind symbols in current scene and reports location information to blind by text-to-speech technology. We develop a prototype system, which consist of a mobile phone with camera and RFID reader. Test result in this paper shows that VAS gets good real-time effect under embedded platform, even though symbol database contains large number of symbol sample. © 2011 IEEE.

关键词： pattern recognition

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Metabolic pathway inference from time series data: A non iterative approach

Metabolic pathway inference from time series data: A non ite...

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6th iapr international conference on pattern recognition in bioinformatics, PRIB 2011

作者： Astola, Laura Groenenboom, Marian Gomez Roldan, Victoria Van Eeuwijk, Fred Hall, Robert D. Bovy, Arnaud Molenaar, Jaap Biometris Wageningen University and Research Centre Droevendaalsesteeg 1 Wageningen Netherlands Netherlands Consortium for Systems Biology Amsterdam Netherlands Plant Research International Wageningen University Research Centre Wageningen Netherlands Centre for Biosystems Genomics P.O. Box 98 Wageningen Netherlands

ISBN: (纸本)9783642248542

In this article, we present a very fast and easy to implement method for reconstruction of metabolic pathways based on time series data. To model the metabolic reactions, we use the well-established setting of ordinary differential equations. In the present article we consider a network leading to the accumulation of quercetin-glycosides in tomato (Solanum lycopersicum). Quercetin belongs to a group of plant secondary metabolites, generally referred to as flavonoids, which are extensively being studied for their variety of important functions in plants as well as for their potentially health-promoting effects on human. We use time series measurements of metabolite concentrations of quercetin derivatives. In the present setting, the observed concentrations are the variables and the reaction rates are the unknown parameters. A standard method is to solve the parameters by reverse engineering, where the ordinary differential equations (ODE) are solved repeatedly, resulting in impractical computation times. We use an alternative method that estimates the parameters by least squares minimization, and which is, in the order of hundred times faster than the iterative method. Our reconstruction method can incorporate an arbitrary a priori known network structure as well as positivity constraints on the reaction rates. In this way we can avoid over-fitting, which is another often encountered problem in network reconstruction, and thus obtain better estimates for the parameters. We test the presented method by reconstructing artificial networks and compare it with the more conventional method in terms of residuals between the observed and fitted concentrations, computing times and the proportion of correctly identified edges in the network. Finally we exploit this fast method to statistically infer the kinetic constants in the flavonoid pathway. We remark that the method as such is not limited to metabolic network reconstructions, but can be used with any type of time-series

关键词： Ordinary differential equations

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Leveraging common-sense in human activity recognition

Leveraging common-sense in human activity recognition

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6th international conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC-2011

作者： Santofimia, Maria J. Del Toro, Xavier Barba, Jesus Villanueva, Felix J. López, Juan Carlos Computer Architecture and Network Group Computer Engineering School University of Castilla-La Mancha Spain School of Industrial Engineering University of Castilla-La Mancha Spain

this work is mainly intended to justify the feasibility and potential benefits that could be drawn from a comprehensive approach to activity recognition, based on the combination of action descriptors, sensor values, ... 详细信息

ISBN: (纸本)9780769545318

关键词： pattern recognition

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An algorithm of planar coded pattern recognition for camera calibration

An algorithm of planar coded pattern recognition for camera ...

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international conference on Image and Graphics

作者： Wang, Yuzhou Wang, Guoping Graphics Lab of EECS Peking University Beijing China

ISBN: (纸本)9780769545417

We propose an algorithm for finding out the single or multiple camera calibration planar coded patterns from an image with a complicate background, and provide a kind of patterns design for multi-pattern calibration accordingly. Until recently, the camera calibration planar pattern recognition methods proposed are mainly the recognition of the calibration pattern from images with a single pattern and a simple background. Our approach expands the scope of application of object reconstruction in two aspects. the first is that the reconstruction can be operated in a natural environment instead of an arranged scene. the second is that the large objects, or objects immovable, can be reconstructed conveniently and accurately. We begin by contour detecting with geometric constraints in the given image. then we build the contours' adjacent relations by generating planar points set Delaunay triangular subdivision. thirdly, we obtain the correspondence between image contours and pattern elements based on the Delaunay net, pattern geometric constraints and perspective projection invariants. We demonstrate the validity of our approach by providing recognition results on real scene images. © 2011 IEEE.

关键词： Computer vision

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A new scheme for 3D face recognition based on 2D Gabor Wavelet Transform plus LBP

A new scheme for 3D face recognition based on 2D Gabor Wavel...

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6th international conference on Computer Science and Education, ICCSE 2011

作者： Jin, Yi Wang, Yizhi Ruan, Qiuqi Wang, Xueqiao School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 China

ISBN: (纸本)9781424497188

In this paper, a novel method based on Gabor Wavelet Transform plus Local Binary pattern is proposed for feature representation in 3D face recognition. Firstly, to enable the application of the new feature representation of the framework, Iterative Closet Point (ICP) is utilized as preprocessing to detect the nose tip by aligning a pair of symmetrical 3D face models of the same person, crop the interest of region, and then generate the corresponding depth images. Secondly, multi-scales and multi-orientations Gabor Wavelet Transform is proposed for feature representation. then, LBP operator is used to describe the local features future. For each face region, the statistical histogram is utilized to represent the 3D face accordingly. Finally, LSDA based strategy is presented to address the recognition task. the new algorithm benefits mostly from two aspects: One aspect is that Gabor wavelets are promoted for their useful properties, such as invariance to illumination, rotation, scale and translations, in feature extraction. the other is that the LBP operator not only describe the local features which have been demonstrated to be quite considerable in recognition task, but also reduces more coefficients for image representation. Experiments based on the FRGC 3D face database demonstrate the effectiveness and efficiency of the new method. Results show that our new algorithm outperforms the other popular approaches reported in the literature and achieves a much higher verification rate at 0.1 FAR. © 2011 IEEE.

关键词： Local binary pattern

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New results on minimum error entropy decision trees

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16th Iberoamerican Congress on pattern recognition, CIARP 2011

作者： De Sá, J. P. Marques Sebastião, Raquel Gama, João Fontes, Tânia INEB-Instituto de Engenharia Biomédica FEUP Universidade Do Porto Rua Dr. Roberto Frias s/n 4200-465 Porto Portugal LIAAD INESC Porto L.A. Rua de Ceuta 118 6 4050-190 Porto Portugal

ISBN: (纸本)9783642250842

We present new results on the performance of Minimum Error Entropy (MEE) decision trees, which use a novel node split criterion. the results were obtained in a comparive study with popular alternative algorithms, on 42 real world datasets. Carefull validation and statistical methods were used. the evidence gathered from this body of results show that the error performance of MEE trees compares well with alternative algorithms. An important aspect to emphasize is that MEE trees generalize better on average without sacrifing error performance. © 2011 Springer-Verlag.

关键词： Errors

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Weighted local binary pattern infrared face recognition based on Weber's law

Weighted local binary pattern infrared face recognition base...

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international conference on Image and Graphics

作者： Xie, Zhihua Liu, Guodong Key Lab of Optic-Electronic and Communication Jiangxi Sciences and Technology Normal University Nanchang Jiangxi China

ISBN: (纸本)9780769545417

the traditional LBP Histogram representation extracts the local micro-patterns and assigns the same weight all local micro-patterns. To combine the different contribution to face recognition, this paper proposes a weighted LBP histogram based on Weber's law. Firstly, inspired by psychological Weber's law, intensity of local micro-pattern is defined by the ratio between two terms: one is relative intensity differences of a central pixel against its neighbors;the other is intensity of local central pixel. Secondly, regarding the intensity of local micro-pattern as its weight, the weighted LBP histogram is constructed with the defined weight. Finally, to make full use of the space location information and lessen the complexity of recognition, the partitioning and uniform patterns are applied to get final features. the experiment results demonstrate that the proposed method outperforms the methods based on traditional LBP. © 2011 IEEE.

关键词： Local binary pattern

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Maintaining imbalance highly dependent medical data using dirichlet process data generation

Maintaining imbalance highly dependent medical data using di...

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2011 6th international conference on Digital Information Management, ICDIM 2011

作者： Antaresti, Tieta Fanany, Mohamad Ivan Arymurthy, Aniati Murni Pattern Recognition Image Processing and Content-Based Image Retrieval Laboratory Faculty of ComputerScience Universitas Indonesia Depok 16424 Indonesia

ISBN: (纸本)9781457715389

the existence of imbalanced data between one class and another class is an important issue to be considered in a classification problem. One of the well-known data balancing technique is the artificial oversampling, which increase the size of datasets. In this research, multinomial classification was applied to classify some recorded features obtained from a single ECG (electrocardiograph) sensor. therefore, a Dirichlet process, a dirichlet distribution of cumulative distribution function of each data partition, was needed to model the distribution of the new generated data by also considering the statistical properties of the previous data. Data balancing process had given the result of 77.21% classification accuracy (CA), and 90.9% area under ROC curve (AUC). © 2011 IEEE.

关键词： Distribution functions

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Service-Oriented Perspectives in Design Science Research - 6th international conference, DESRIST 2011, Proceedings

Service-Oriented Perspectives in Design Science Research - 6...

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6th international conference on Service-Oriented Perspectives in Design Science Research, DESRIST 2011

ISBN: (纸本)9783642206320

the proceedings contain 34 papers. the topics discussed include: extending prior research with design science research: two patterns for DSRIS project generation;inductive design of maturity models: applying the rasch algorithm for design science research;pattern-based approach for designing with diagrammatic and propositional conceptual models;enacted software development routines based on waterfall and agile software methods: socio-technical event sequence study;a fitness-utility model for design science research;interface design elements for anti-phishing systems;experimental evaluation of peer endorsement system artifacts using best-of-breed ideals - effects of online decision confidence on post-choice regret;managing the future-six guidelines for designing environmental scanning systems;and utilizing user-group characteristics to improve acceptance of management support SystemState of the art and six design guidelines.

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