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  2. File:OBJECT COUNTING AND DENSITY CALCULATION USING MATLAB.pdf

    en.wikipedia.org/wiki/File:OBJECT_COUNTING_AND...

    English: Counting the number of objects is an integral part of image processing. Knowing the number of objects present in the image can be useful for further analysis in a wide range of applications.

  3. MATLAB - Wikipedia

    en.wikipedia.org/wiki/MATLAB

    MATLAB (an abbreviation of "MATrix LABoratory" [18]) is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks.MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.

  4. JT (visualization format) - Wikipedia

    en.wikipedia.org/wiki/JT_(visualization_format)

    JT supports common product structure-to-file structure mappings. These include: Per part - All assembly nodes in a product structure hierarchy are stored in a single JT file, and each part node in the hierarchy is stored in an individual JT file in a sub-directory that is of the same name as the assembly JT file.

  5. MathWorks - Wikipedia

    en.wikipedia.org/wiki/MathWorks

    MATLAB was created in the 1970s by Cleve Moler, who was chairman of the computer science department at the University of New Mexico at the time. It was a free tool for academics. Jack Little, who would eventually set up the company, came across the tool while he was a graduate student in electrical engineering at Stanford University.

  6. Distribution of the product of two random variables - Wikipedia

    en.wikipedia.org/wiki/Distribution_of_the...

    The joint pdf () exists in the -plane and an arc of constant value is shown as the shaded line. To find the marginal probability f Z ( z ) {\displaystyle f_{Z}(z)} on this arc, integrate over increments of area d x d y f ( x , y ) {\displaystyle dx\,dy\;f(x,y)} on this contour.

  7. Sparse approximation - Wikipedia

    en.wikipedia.org/wiki/Sparse_approximation

    Collaborative (joint) sparse coding: The original version of the problem is defined for a single signal . In the collaborative (joint) sparse coding model, a set of signals is available, each believed to emerge from (nearly) the same set of atoms from . In this case, the pursuit task aims to recover a set of sparse representations that best ...

  8. Joint Approximation Diagonalization of Eigen-matrices

    en.wikipedia.org/wiki/Joint_Approximation...

    Joint Approximation Diagonalization of Eigen-matrices (JADE) is an algorithm for independent component analysis that separates observed mixed signals into latent source signals by exploiting fourth order moments. [1] The fourth order moments are a measure of non-Gaussianity, which is used as a proxy for defining independence between the source ...

  9. Probabilistic data association filter - Wikipedia

    en.wikipedia.org/wiki/Probabilistic_data...

    MATLAB: The PDAF and JPDAF algorithms are implemented in the singleScanUpdate function that is part of the United States Naval Research Laboratory's free Tracker Component Library. [3] Python: The PDAF and other data association methods are implemented in Stone-Soup. [4] A tutorial demonstrates how the algorithms can be used. [5] [6]