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  • mani: MANIfold learning demonstration GUI by Todd Wittman, Department of Mathematics, University of

    mani: MANIfold learning demonstration GUI by Todd Wittman, Department of Mathematics, University of Minnesota E-mail wittman@math.umn.edu with comments & questions. MANI Website: httP://www.math.umn.edu/~wittman/mani/index.html Last Modified by GUIDE v2.5 10-Apr-2005 13:28:36 Methods obtained from various authors. (1) MDS -- Michael Lee (2) ISOMAP -- J. Tenenbaum, de Silva, & Langford (3) LLE -- Sam Roweis & Lawrence Saul (4) Hessian LLE -- D. Donoho & C. Grimes (5) Laplacian -- M. Belkin & P. Niyogi (6) Diffusion Map -- R. Coifman & S. Lafon (7) LTSA -- Zhenyue Zhang & Hongyuan Zha

    標簽: demonstration Mathematics Department University

    上傳時間: 2016-10-29

    上傳用戶:youmo81

  • Semantic analysis of multimedia content is an on going research area that has gained a lot of atten

    Semantic analysis of multimedia content is an on going research area that has gained a lot of attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis with great success. This work presents a combined approach to semantic adaptation of neural network classifiers in multimedia framework. It is based on a fuzzy reasoning engine which is able to evaluate the outputs and the confidence levels of the neural network classifier, using a knowledge base. Improved image segmentation results are obtained, which are used for adaptation of the network classifier, further increasing its ability to provide accurate classification of the specific content.

    標簽: multimedia Semantic analysis research

    上傳時間: 2016-11-24

    上傳用戶:蟲蟲蟲蟲蟲蟲

  • PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A componen

    PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A components) those variables that do not carry any relevant information to model Y. The criterion used to trace the un-informative variables is the reliability of the regression coefficients: c_j=mean(b_j)/std(b_j), obtained by jackknifing. The cutoff level, below which c_j is considered to be too small, indicating that the variable j should be removed, is estimated using a matrix of random variables.The predictive power of PLS models built on the retained variables only is evaluated over all 1-a dimensions =(yielding RMSECVnew).

    標簽: from eliminates PRINCIPLE algorithm

    上傳時間: 2016-11-27

    上傳用戶:凌云御清風

  • In computer vision, sets of data acquired by sampling the same scene or object at different times, o

    In computer vision, sets of data acquired by sampling the same scene or object at different times, or from different perspectives, will be in different coordinate systems. Image registration is the process of transforming the different sets of data into one coordinate system. Registration is necessary in order to be able to compare or integrate the data obtained from different measurements. Image registration is the process of transforming the different sets of data into one coordinate system. To be precise it involves finding transformations that relate spatial information conveyed in one image to that in another or in physical space. Image registration is performed on a series of at least two images, where one of these images is the reference image to which all the others will be registered. The other images are referred to as target images.

    標簽: different computer acquired sampling

    上傳時間: 2013-12-28

    上傳用戶:來茴

  • OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented i

    OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.

    標簽: OTSU segmentation Gray-level segmented

    上傳時間: 2017-04-24

    上傳用戶:yuzsu

  • this program solves the steady-state navier-stokes eqn in 2d for the flow in a driven cavity problem

    this program solves the steady-state navier-stokes eqn in 2d for the flow in a driven cavity problem. the function solved for is the streamfunction. the velocity may be obtained by differentiating the streamfunction.

    標簽: navier-stokes steady-state the program

    上傳時間: 2014-01-06

    上傳用戶:himbly

  • The MINI2440 is an effecient ARM9 development board with a comprehensive price, it characterizes sim

    The MINI2440 is an effecient ARM9 development board with a comprehensive price, it characterizes simple method and high performance-price ratio. Based on the Samsung S3C2440 microprocessor, it embodies professional stable CPU core power source chip and reset chip to ensure the stability of the system operation. The PCB on the MINI2440 board is designed to be 4-layers board, adopting the ENIG technology and professional equal-length wiring to ensure the completeness of the signals of the key signal wires and manufactured and released under stringent quality control plans. With the help of this detailed manual, users are supposed to become proficient in the development process of embedded Linux and WinCE operating system, they are supposed to get the foundation, so long as they have obtained the basic and necessary knowledge about the C language, in two weeks.

    標簽: comprehensive characterizes development effecient

    上傳時間: 2013-12-18

    上傳用戶:csgcd001

  • Mobile Broadband Multimedia Networks Techniques

    This books presents the research work of COST 273 Towards Mobile Broadband Multimedia Networks, hence, it reports on the work performed and on the results achieved within the project by its participants. The material presented here corresponds to the results obtained in four years of collaborative work by more than 350 researchers from 137 institutions (universities, operators, manufacturers, regulators, independent laboratories and others – a full list is provided in Appendix B) belonging to 29 countries (mainly European, but also from Asia and North America) in the area of mobileradio. Theobjectiveofpublishingtheseresultsasabookisessentiallytomakethemavailable to an audience wider than the project. In fact, it just follows a ‘tradition’ of previous COST Actions in this area of telecommunications, i.e. COST 207, 231 and 259.

    標簽: Multimedia Techniques Broadband Networks Mobile

    上傳時間: 2020-05-30

    上傳用戶:shancjb

  • Opportunistic+Spectrum+Sharing

    Rapid growth of wireless communication services in recent decades has created a huge demand of radio spectrum. Spectrum scarcity and utilization inefficiency limit the development of wireless networks. Cognitive radio is a promising tech- nology that allows secondary users to reuse the underutilized licensed spectrum of primary users. The major challenge for spectrum sharing is to achieve high spectrum efficiency while making non-intrusive access to the licensed bands. This requires in- formation of availability and quality of channel resources at secondary transmitters, however, is difficult to be obtained perfectly in practice.

    標簽: Opportunistic Spectrum Sharing

    上傳時間: 2020-05-31

    上傳用戶:shancjb

  • RF Engineering

    The first gem of wisdom I ever acquired about consulting, obtained many years ago from a former schoolmate, was to ensure that everything is plugged in: no continuity, no data. Wires carry voltages and currents from one place to another. Their behavior is reasonably simple and predictable—at least for sufficiently low data rates and short lengths—and they can be seen, grabbed, traced, and tugged.

    標簽: RF Engineering

    上傳時間: 2020-06-01

    上傳用戶:shancjb

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