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  2. Affine term structure model - Wikipedia

    en.wikipedia.org/wiki/Affine_term_structure_model

    One approach to affine term structure modeling is to enforce an arbitrage-free condition on the proposed model. In a series of papers, [2] [3] [4] a proposed dynamic yield curve model was developed using an arbitrage-free version of the famous Nelson-Siegel model, [5] which the authors label AFNS. To derive the AFNS model, the authors make ...

  3. Point-set registration - Wikipedia

    en.wikipedia.org/wiki/Point-set_registration

    Point set registration is the process of aligning two point sets. Here, the blue fish is being registered to the red fish. In computer vision, pattern recognition, and robotics, point-set registration, also known as point-cloud registration or scan matching, is the process of finding a spatial transformation (e.g., scaling, rotation and translation) that aligns two point clouds.

  4. Affine transformation - Wikipedia

    en.wikipedia.org/wiki/Affine_transformation

    Let X be an affine space over a field k, and V be its associated vector space. An affine transformation is a bijection f from X onto itself that is an affine map; this means that a linear map g from V to V is well defined by the equation () = (); here, as usual, the subtraction of two points denotes the free vector from the second point to the first one, and "well-defined" means that ...

  5. AlexNet - Wikipedia

    en.wikipedia.org/wiki/AlexNet

    If one freezes the rest of the model and only finetune the last layer, one can obtain another vision model at cost much less than training one from scratch. AlexNet block diagram AlexNet is a convolutional neural network (CNN) architecture, designed by Alex Krizhevsky in collaboration with Ilya Sutskever and Geoffrey Hinton , who was Krizhevsky ...

  6. Convolutional neural network - Wikipedia

    en.wikipedia.org/wiki/Convolutional_neural_network

    A convolutional neural network (CNN) is a regularized type of feedforward neural network that learns features by itself via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio. [1]

  7. Affine space - Wikipedia

    en.wikipedia.org/wiki/Affine_space

    Origins from Alice's and Bob's perspectives. Vector computation from Alice's perspective is in red, whereas that from Bob's is in blue. The following characterization may be easier to understand than the usual formal definition: an affine space is what is left of a vector space after one has forgotten which point is the origin (or, in the words of the French mathematician Marcel Berger, "An ...

  8. Coxeter group - Wikipedia

    en.wikipedia.org/wiki/Coxeter_group

    For example, for n ≥ 2, the graph consisting of n+1 vertices in a circle is obtained from A n in this way, and the corresponding Coxeter group is the affine Weyl group of A n (the affine symmetric group). For n = 2, this can be pictured as a subgroup of the symmetry group of the standard tiling of the plane by equilateral triangles.

  9. Perceptron - Wikipedia

    en.wikipedia.org/wiki/Perceptron

    "cross-coupling" (connections between units within the same layer) with possibly closed loops, "back-coupling" (connections from units in a later layer to units in a previous layer), four-layer perceptrons where the last two layers have adjustible weights (and thus a proper multilayer perceptron),