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Local and weighted maximum margin discriminant analysis

Local and weighted maximum margin discriminant analysis

引用

IEEE conference on Computer Vision and Pattern Recognition

作者： Wang, Haixian Zheng, Wenming Hu, Zilan Chen, Sibao SE Univ Minist Educ Key Lab Child Dev & Learning Sci Nanjing 210096 Jiangsu Peoples R China Anhui Univ Technol Sch Math & Phys Maanshan 243002 Anhui Peoples R China Univ Sci & Technol China Dept Elect Engn & Informat Sci Hefei 230027 Anhui Peoples R China

ISBN: (纸本)9781424411795

In this paper, we propose a new approach, called local and weighted maximum margin discriminant analysis (LWMMDA), to performing object discrimination. LWMMDA is a subspace learning method that identifies the underlying nonlinear manifold for discrimination. The goal of LWMMDA is to seek a transformation such that data points of different classes are projected as far as possible while points within a same class are as compact as possible. The projections are obtained by maximizing a new discriminant criterion, called local and weighted maximum margin criterion (LWMMC). Different from previous maximum margin criterion (MMC) which seeks only the globally Euclidean structure of data points, LWMMC takes the local property into account, which makes LWMMC more accurate in finding discriminant information. LWMMC has an additional weighted parameter 3 that further broadens the average margin between different classes. Computationally, LWMMDA completely avoids the singularity problem. Besides, LWMMDA couples the QR-decomposition into its framework, which makes LWMMDA very efficient and stable in implementation. Finally, LWMMDA framework is straightforwardly extended into the reproducing kernel Hilbert space induced by a nonlinear function. Experiments on digit visualization, face recognition, and facial expression recognition are presented to show the effectiveness of the proposed method.

关键词： Discriminant analysis

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Extracting Separation Surfaces of Path Line Oriented Topology in Periodic 2D Time-Dependent Vector Fields

Extracting Separation Surfaces of Path Line Oriented Topolog...

引用

15th International conference in Central Europe on Computer Graphics, visualization and Computer Vision

作者： Shi, Kuangyu Theisel, Holger Weinkauf, Tino Hauser, Helwig Hege, Hans-Christian Seidel, Hans-Peter MPI Informat D-66123 Saarbrucken Germany

ISBN: (纸本)9788086943008

This paper presents an approach to extracting the separation surfaces from periodic 2D time-dependent vector fields based on a recently introduced path line oriented topology. This topology is based on critical path lines which repeat the same spatial cycle per time period. Around those path lines there are areas of similar asymptotic flow behavior (basins) which are captured by a 2D Poincare map as a discrete dynamical system. Due to pseudo discontinuities in this map and the discrete integration scheme, separatrices between the basins can't be obtained as integral curves. Instead we choose a point-wise approach to segment the Poincare map and apply image analysis algorithms to extract the 2D separation curves. Starting from those curves we integrate separation surfaces which partition the periodic 2D time-dependent vector field into areas of similar path line behavior. We apply our approach to a number of data sets to demonstrate its utility.

关键词： Flow visualization Time-dependent vector fields Topological methods

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Flexible Multichannel System for Bioelectrical Fields analysis 11th

引用

11th Mediterranean conference on Medical and Biological Engineering and Computing (MEDICON 2007)

作者： Kneppo, P. Tysler, M. Hana, K. Smrcka, P. Rosik, V. Karas, S. Heblakova, E. Czech Tech Univ Fac Biomed Engn Nam Sitna 3105 Kladno 27201 Czech Republic Slovak Acad Sci Inst Measurement Sci Bratislava Slovakia

ISBN: (纸本)9783540730439

Powerful multichannel system for measurement of surface biosignals is introduced and its use for cardiac electric field mapping is presented. The system can use up to 128 active electrodes;active neutralization of the patient and battery-powered operation facilitates optimal signal quality. Amplification and measuring unit containing ADSP-BF537 processor with embedded network connectivity enables easy wired or wireless connection to the host personal computer. Measurement and data analysis PC software based on the NET platform enables fast high-resolution multichannel measurement, processing and visualization of surface bioelectrical fields. Another application enables noninvasive identification of local ischemia using measured QRST integral maps and model of the patient's torso.

关键词： DSP based measuring system Ethernet connectivity biosignal measurement body surface potential mapping noninvasive ischemia identification

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Three-dimensional visualization in powder diffraction 20th

Three-dimensional visualization in powder diffraction

引用

20th conference on Applied Crystallography

作者： Izumi, Fujio Momma, Koichi Natl Inst Mat Sci Quantum Bean Ctr Tsukuba Ibaraki Japan

ISBN: (纸本)9783908451402

A multi-purpose pattern-fitting system, RIETAN-2000, has been extensively utilized to contribute to many structural studies. It offers a sophisticated structure-refinement technique of whole-pattern fitting based on the maximum-entropy method (MEM) in combination with a MEM analysis program PRIMA. We have recently completed a successor system, RIETAN-FP, to RIETAN-2000, adding new features such as standardization of crystal-structure data, an extended March-Dollase preferred-orientation function, and automation of imposing restraints on bond lengths and angles. Further, we have been developing a new three-dimensional visualization system, VESTA, using wxWidgets as a C++ application framework. VESTA excels in visualization, rendering, and manipulation of crystal structures and electron/nuclear densities determined by X-ray/neutron diffraction and electronic-structure calculations. VESTA also enables us to display wave functions and electrostatic potentials calculated with part of these programs.

关键词： powder diffraction maximum-entropy method three-dimensional graphics electron densities nuclear densities electronic-structure calculations

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analysis of instantaneous amplitude and frequency of intracranial EEG signal to characterize epileptic seizure stages

Analysis of instantaneous amplitude and frequency of intracr...

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29th Annual International conference of the IEEE-Engineering-in-Medicine-and-Biology-Society

作者： Diaz, M. A. Viola, J. C. Esteller, R. Univ Simon Bolivar Dept Elect & Circuits Caracas Venezuela Neuropace Mountain View CA USA

ISBN: (纸本)9781424407873

A graphical and analytical description of epileptic seizures based on amplitude modulation and frequency modulation components of intracranial EEG (iEEG) is proposed. This representation allows the characterization of seizures and their different stages from the iEEG by means of triangles whose vertexes are the centroids (c(m)) of the signal during preictal, ictal and postictal periods. The centroid is the point defined by the average values of instantaneous amplitude and frequency, a(i) and f(i) respectively. data were obtained from 8 patients with recurrent epilepsy, 170 records were processed, 62 of which were seizures and 108 interictal signals. Results show that the centroids of the ictal periods are located in a region of the space a(i) - f(i) distant from the centroids corresponding to interictal and postictal periods. This original representation of epileptic seizures can facilitate the visualization of stage-transitions and discrimination between the different stages of the iEEG signal. An additional advantage of the method is that the information contained in the signal is synthesized significantly.

关键词： Electroencephalography

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Identification of differential flow cytometry expression

Identification of differential flow cytometry expression

引用

7th IEEE International conference on Bioinformatics and Bioengineering, BIBE

作者： Rossin, Elizabeth Pyne, Saumyadipta Hahne, Florian De Jager, Philip L. Broad Institute of MIT and Harvard Cambridge United States German Cancer Research Center Heidelberg Germany Brigham and Women's Hospital Boston United States

ISBN: (纸本)1424415098

Flow cytometry is a standard platform for studying intracellular and extracellular protein expression of different cell populations in a tissue sample. Using specific antibody profiles, surface protein expression may be found as different for certain cell populations in samples that belong to different classes such as disease and normal or to cohorts with different genotypes. analysis of such statistically significant differential expression can yield important biomarkers. Here we describe a computational tool DVisE to identify and localize precisely the cell subpopulations with statistically significant differential expression across different cohorts and classes. We analyzed HLA-DQ surface expression in Lymphoblastic cell lines using 266 out of 270 samples from the HapMap project. The cohorts were subdivided into 3 genotypic classes according to an allelic variant within upstream of the HLA-DQ gene. With the help of the present tool we were able to identify a significantly distinctive cytomic signature that is well preserved among genotypes in all the populations. Because of its novel ability to locate distinct areas where immune cells differentially express proteins, DVisE can play a very useful role in our study of the immune system. Indeed the tool could be extended to multiple different applications in bioinformatics and pattern recognition such as data visualization and discriminant analysis. ©2007 IEEE.

关键词： data visualization

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Audio-visual gender recognition

Audio-visual gender recognition

引用

conference on Pattern Recognition and Computer Vision

作者： Liu, Ming Xu, Xun Huang, Thomas S. Univ Illinois Beckman Inst Image Format Grp Urbana IL 61801 USA

ISBN: (纸本)9780819469526

Combining different modalities for pattern recognition task is a very promising field. Basically, human always fuse information from different modalities to recognize object and perform inference, etc. Audio-Visual gender recognition is one of the most common task in human social communication. Human can identify the gender by facial appearance, by speech and also by body gait. Indeed, human gender recognition is a multi-modal data acquisition and processing procedure. However, computational multimodal gender recognition has not been extensively investigated in the literature. In this paper, speech and facial image are fused to perform a mutli-modal gender recognition for exploring the improvement of combining different modalities.

关键词： visualization Acoustics Binary data databases Pattern recognition Neural networks Computer vision technology data acquisition Gait analysis Machine vision

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Optimal clustering of kinetic patterns on malignant breast lesions: Comparison between K-means clustering and three-time-points method in dynamic contrast-enhanced MRI

Optimal clustering of kinetic patterns on malignant breast l...

引用

29th Annual International conference of the IEEE-Engineering-in-Medicine-and-Biology-Society

作者： Lee, S. H. Kim, J. H. Kim, K. G. Park, J. S. Park, S. J. Moon, W. K. Seoul Natl Univ Coll Med Interdisciplinary Program Radiat Appl Life Sci Seoul 151 South Korea Seoul Natl Univ Hosp Dept Radiol Seoul South Korea Seoul Natl Univ Med Res Ctr Inst Radiat Med Seoul South Korea

ISBN: (纸本)9781424407873

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is useful for breast cancer diagnosis and treatment planning. Nevertheless, due to the multi-temporal nature of DCE-MRI data, the assessment of early stage breast cancer is a challenging task. In this study, we applied an unsupervised clustering approach and cluster validation technique to the analysis of malignant intral-tumoral kinetic curves in DCE-MRI. K-means cluster analysis was performed from real world malignant tumor cases and the data were transformed into an optimal number of reference patterns representative each cluster. The optimal number of clusters was estimated by a cluster validation index, which was calculated with the ratio of inter-class scatter to intra-class scatter. This technique then classifies tumor specific patterns from a given MRI data by measuring the vector distances from the reference pattern seta and compared the result from the k-means clustering with that from three-time-points (3TP) method, which represents a clinical standard protocol for analysis of tumor kinetics. The evaluation of twenty five cases indicates that optimal k-means clustering reflects partitioning intra-tumoral kinetic patterns better than the 3TP technique. This method will greatly enhance the capability of radiologists to identify and characterize internal kinetic heterogeneity and vascular change of a tumor in breast DCE-MRI.

关键词： DCE-MRI breast cancer kinetics k-means clustering 3TP method visualization

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analysis of the MPI-IO optimization levels with the PIOViz jumpshot enhancement

引用

14th EuroPVM/MPI conference

作者： Ludwig, Thomas Krempel, Stephan Kuhn, Michael Kunkel, Julian Lohse, Christian Ruprecht Karls Univ Heidelberg D-69120 Heidelberg Germany

ISBN: (纸本)9783540754152

With MPI-IO we see various alternatives for programming file I/O. The overall program performance depends on many different factors. A new trace analysis environment provides deeper insight into the client/server behavior and visualizes events of both process types. We investigate the influence of making independent vs. collective calls together with access to contiguous and non-contiguous data regions in our MPI-IO program. Combined client and server traces exhibit reasons for observed I/O performance.

关键词： parallel I/O MPI-IO performance visualization Trace-Based tools

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Facilitating interdisciplinary PLM through usage of Hub methodology and 3D lightweight visualisation data

Facilitating interdisciplinary PLM through usage of Hub meth...

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16th International conference on Engineering Design, ICED 2007

作者： Zimmerman, Trond Malmqvist, Johan Volvo Information Technology PLM Solution Center Dept. 9143 PVV3:1 SE-405 08 Göteborg Sweden Chalmers University of Technology Göteborg Sweden

ISBN: (纸本)1904670024

Demands on shortened development leadtimes in many branches of the manufacturing industry has implied earlier and more intense efforts of sales, manufacturing and aftermarket preparations than before. Thus, the need of sharing emerging pieces of the product definition from product development to downstream processes such as manufacturing and aftermarket has received more attention in later times. An important view of the product definition is its geometrical representation. Distribution and use of 3D visualisation data is a critical ability for an effective downstream development. This work relates to a study in the commercial vehicle industry and concern issues on how to efficiently distribute configured visualisation data to the aftermarket preparation process throughout the product development process, including the conceptual design phases. This includes utilisation of visualisation data for production of service and repair methods, service information, parts assortment and spare parts information. The results unfold information needs from, and requirements on the Product Lifecycle Management (PLM) system, from an aftermarket perspective. These prerequisites are set in relation to available information technology and utilised or evolved architectural concepts. The analysis comprise an exploitation of 3D lightweight formats as a mean for carrying geometrical definitions between processes and organisations, as well as different standards and techniques for establishing a working application and infrastructure architecture in support. The principal element is an architectural design for an Engineering Portal (Hub) and adherent feasibility analysis.

关键词： visualization

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