Optimal matching

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Optimal matching is a sequence analysis method used in social science, to assess the dissimilarity of ordered arrays of tokens that usually represent a time-ordered sequence of socio-economic states two individuals have experienced. (Wikipedia.org)






Conferences related to Optimal matching

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2021 IEEE Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


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Periodicals related to Optimal matching

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Circuits and Systems I: Regular Papers, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


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Most published Xplore authors for Optimal matching

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Xplore Articles related to Optimal matching

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Line object matching based on fuzzy similarities

10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2001

This paper presents an approach to object feature extraction and object matching for line object processing. The invariant features of objects have been extracted based on inertia coordinate systems. Weighted fuzzy dissimilarity is proposed as a matching variable. To simplify the optimal object matching, an optimal matching pair theorem is proposed. Experiments are conducted for verifying the feature extraction and ...


A CFAR intensity pattern detector for MMW SAR images

Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284), 1998

In this paper, we first demonstrate a novel CFAR intensity pattern matching detector, which is formulated based on the generalized likelihood ratio test (GLRT) for target detection in millimeter wave (MMW) SAR images. Both the widely used two-parameter CFAR and the /spl gamma/-CFAR are the special cases of the intensity matching detector with different intensity kernels to be matched. Secondly, ...


A generalized shape-axis model for planar shapes

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2000

We describe a generalized shape-axis (SA) model for representing both open and closed planar curves. The SA model is an effective way to represent shapes by comparing their self-similarities. Given a 2D shape, whether it is closed or open, we use two different parametrizations for the curve. To study the self- similarity, the two parametrizations are matched to each other ...


Control of sarcomerogenesis-growth of the heart

Proceedings of the Fifteenth Annual Northeast Bioengineering Conference, 1989

A theory for the growth of the cardiac sarcomere and heart size is proposed. The stress-strain environment and O/sub 2/ consumption are computed for the myocardium using a mechanical model of the left ventricle. Cardiac afterload and preload are maintained constant while the dimensions of the ventricle are altered. It is observed that the computed ventricular dimensions result in normal ...


An area-based alignment method for 3D urban models

Object recognition supported by user interaction for service robots, 2002

The alignment method refers to the idea of superposing a model onto an image. The problem is separated into two parts, i) find a possible transformation of the model on the image, then ii) validate this transformation by aligning the model onto the image. We propose an extension of the traditional alignment method in order to deal with complex objects ...


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Educational Resources on Optimal matching

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IEEE-USA E-Books

  • Line object matching based on fuzzy similarities

    This paper presents an approach to object feature extraction and object matching for line object processing. The invariant features of objects have been extracted based on inertia coordinate systems. Weighted fuzzy dissimilarity is proposed as a matching variable. To simplify the optimal object matching, an optimal matching pair theorem is proposed. Experiments are conducted for verifying the feature extraction and optimal matching pair theorem.

  • A CFAR intensity pattern detector for MMW SAR images

    In this paper, we first demonstrate a novel CFAR intensity pattern matching detector, which is formulated based on the generalized likelihood ratio test (GLRT) for target detection in millimeter wave (MMW) SAR images. Both the widely used two-parameter CFAR and the /spl gamma/-CFAR are the special cases of the intensity matching detector with different intensity kernels to be matched. Secondly, to find the best intensity matching kernel, we propose to apply principal component analysis (PCA) to the radial intensity profiles of several targets. It can be experimentally shown for the MSTAR data set that the first eigenfunction of the radial intensity profile of targets can be well approximated by the first order Gamma kernel, which provides the optimal matching intensity kernel. Therefore, the /spl gamma/-CFAR detector approximately performs "normalized" maximum eigenfiltering, resulting in better performance when compared with the delta function stencil proposed by MIT/Lincoln Laboratories.

  • A generalized shape-axis model for planar shapes

    We describe a generalized shape-axis (SA) model for representing both open and closed planar curves. The SA model is an effective way to represent shapes by comparing their self-similarities. Given a 2D shape, whether it is closed or open, we use two different parametrizations for the curve. To study the self- similarity, the two parametrizations are matched to each other via a variational framework, where the self-similarity criterion is to be defined depending on the class of shapes and human perception factors. Useful self- similarity criteria include symmetry, parallelism and convexity, etc. A match is allowed to have discontinuities, and the optimal match can be computed by a dynamic programming algorithm in O(N/sup 4/) time, where N is the size of the shape. We use a grouping process for the shape axis to construct a unique SA- tree, however, when a planar shape is open, it is possible to derive an SA- forest. The generalized SA model provides a compact and informative way for 2D shape representation.

  • Control of sarcomerogenesis-growth of the heart

    A theory for the growth of the cardiac sarcomere and heart size is proposed. The stress-strain environment and O/sub 2/ consumption are computed for the myocardium using a mechanical model of the left ventricle. Cardiac afterload and preload are maintained constant while the dimensions of the ventricle are altered. It is observed that the computed ventricular dimensions result in normal heart function, based on examination of stroke volume, heart rate, and ventricular pressure. Global quantities were not necessarily optimal. It is theorized that sarcomerogenesis is stimulated by an increase in the fiber stress along the myofibril.<<ETX>>

  • An area-based alignment method for 3D urban models

    The alignment method refers to the idea of superposing a model onto an image. The problem is separated into two parts, i) find a possible transformation of the model on the image, then ii) validate this transformation by aligning the model onto the image. We propose an extension of the traditional alignment method in order to deal with complex objects sustained by projective mappings. Much of the work is localized on how to cope with spurious data as long as processing time is not becoming too excessive. Moreover, the robustness and simplicity of the approach make it appealing for a broader class of objects, not necessarily urban parts.

  • Hypergraph matching based on Marginalized Constrained Compatibility

    We aim to match two hypergraphs via pairwise characterization of multiple relationships. To this end, we introduce a technique referred to as Marginalized Constrained Compatibility Estimation (MCCE), which transforms the compatibility tensor representing hyper-edge similarities into a compatibility matrix representing edge similarities. We then cluster graph vertices associated with the compatibility matrix and extract its dominant set as the optimal matches. Our MCCE-based method overcomes the information loss arising in arithmetic average, which is commonly used for marginal-ization in the hypergraph matching literature. Experiments demonstrate the effectiveness of our method.

  • A fusion method of geometric and topological features for boundary-based shape matching and retrieval

    In this paper, an efficient method for boundary-based shapes matching and retrieval in the presence of occlusion is presented. The geometric and topological information of boundary curves are encoded in the form of longest common sub-curves (LCS) graphs and their similarity is estimated by graph matching. B-spline is used for approximating the original boundary, then inflection points are detected to split such a Bspline to convex/concave segments. The characteristic string is constructed based on these segments' canonical frame. After LCS candidates are found, their graphs, which are constructed using their segments as vertices and the weighted walkthrough (WW) between two segments as edges, are compared to obtain the optimal match. The experimental results and comparisons demonstrate that the proposed method outperforms traditional boundary-based methods in shape matching and it enhances the quality of inexact shape retrieval

  • Contour-based motion estimation and object tracking for real-time applications

    A new approach for fast motion estimation and object tracking is presented. Motion is estimated along contours, which are tracked over time. Contour tracking can easily be extended to object tracking. To track contours a transformation is estimated which allows an optimal match of contour parts. This is measured by distance values. Using the distance transformation of contour images, contour tracking can be formulated as a correlation approach. Contour tracking works robustly in real-world image sequences. Furthermore it allows real-time implementations of motion estimation and object tracking on a Pentium III processor. This is essential for using motion information in real- time applications.

  • Study on the Algorithm of Sea Bottom Terrain Match

    Terrain matching assistant navigation is a new method in navigation technology of the underwater vehicles. In this paper, ICCP algorithm is studied and improved with MATLAB. By measured terrain data at real time and real multi- beam bathymetric measured terrain data, the accumulative errors of the inertial navigation system can be corrected and the optimal matching position can be gotten. In order to validate match position and the availability of improved ICCP algorithm, the error of the match position is of observed quantity, and the error of the navigation system is analyzed by Kalman filter. There are many simulation examples to validate the influence of each error source on matching error.

  • Three-Point Search Algorithm for Video Compression

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