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  2. Correspondence problem - Wikipedia

    en.wikipedia.org/wiki/Correspondence_problem

    Correspondence is a fundamental problem in computer vision — influential computer vision researcher Takeo Kanade famously once said that the three fundamental problems of computer vision are: “Correspondence, correspondence, and correspondence!” [2] Indeed, correspondence is arguably the key building block in many related applications ...

  3. Software architecture description - Wikipedia

    en.wikipedia.org/wiki/Software_architecture...

    The viewpoint specifies not only the concerns framed (i.e., to be addressed) but the presentation, model kinds used, conventions used and any consistency (correspondence) rules to keep a view consistent with other views. Examples of viewpoints include: Functional viewpoint; Logical viewpoint; Information/Data viewpoint; Module viewpoint

  4. Detrended correspondence analysis - Wikipedia

    en.wikipedia.org/wiki/Detrended_correspondence...

    DECORANA — A FORTRAN program for Detrended Correspondence Analysis and Reciprocal Averaging. Section of Ecology and Systematics, Cornell University, Ithaca, New York, 52pp. Hill, M.O. and Gauch, H.G. (1980). Detrended Correspondence Analysis: An Improved Ordination Technique. Vegetatio 42, 47–58. Oksanen J and Minchin PR (1997).

  5. 3D pose estimation - Wikipedia

    en.wikipedia.org/wiki/3D_Pose_Estimation

    The main idea is to determine the correspondences between 2D image features and points on the 3D model curve. (a) Reconstruct projection rays from the image points (b) Estimate the nearest point of each projection ray to a point on the 3D contour (c) Estimate the pose of the contour with the use of this correspondence set (d) goto (b)

  6. Correspondence analysis - Wikipedia

    en.wikipedia.org/wiki/Correspondence_analysis

    Correspondence analysis (CA) is a multivariate statistical technique proposed [1] by Herman Otto Hartley (Hirschfeld) [2] and later developed by Jean-Paul Benzécri. [3] It is conceptually similar to principal component analysis, but applies to categorical rather than continuous data.

  7. Multiple correspondence analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple_correspondence...

    In statistics, multiple correspondence analysis (MCA) is a data analysis technique for nominal categorical data, used to detect and represent underlying structures in a data set. It does this by representing data as points in a low-dimensional Euclidean space .

  8. Curry–Howard correspondence - Wikipedia

    en.wikipedia.org/wiki/Curry–Howard_correspondence

    Lambek's correspondence is a correspondence of equational theories, abstracting away from dynamics of computation such as beta reduction and term normalization, and is not the expression of a syntactic identity of structures as it is the case for each of Curry's and Howard's correspondences: i.e. the structure of a well-defined morphism in a ...

  9. Transient modelling - Wikipedia

    en.wikipedia.org/wiki/Transient_modelling

    Transient modelling does not need a computer. It is a methodology that has worked for centuries, by observers noting patterns of change against time, analysing the result and proposing improved design solutions. A simple example is a garden water tank. This is being topped up by rainfall from the roof, but when the tank is full, the remaining ...