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  2. Image-based modeling and rendering - Wikipedia

    en.wikipedia.org/wiki/Image-based_modeling_and...

    The traditional approach of computer graphics has been used to create a geometric model in 3D and try to reproject it onto a two-dimensional image. Computer vision, conversely, is mostly focused on detecting, grouping, and extracting features (edges, faces, etc. ) present in a given picture and then trying to interpret them as three-dimensional ...

  3. Ramer–Douglas–Peucker algorithm - Wikipedia

    en.wikipedia.org/wiki/Ramer–Douglas–Peucker...

    In the worst case, i = 1 or i = n − 2 at each recursive invocation yields a running time of O(n 2). In the best case, i = ⁠ n / 2 ⁠ or i = ⁠ n ± 1 / 2 ⁠ at each recursive invocation yields a running time of O(n log n). Using (fully or semi-) dynamic convex hull data structures, the simplification performed by the algorithm can be ...

  4. Flutter (software) - Wikipedia

    en.wikipedia.org/wiki/Flutter_(software)

    Flutter is an open-source UI software development kit created by Google.It can be used to develop cross platform applications from a single codebase for the web, [3] Fuchsia, Android, iOS, Linux, macOS, and Windows. [4]

  5. Layer (deep learning) - Wikipedia

    en.wikipedia.org/wiki/Layer_(Deep_Learning)

    The Recurrent layer is used for text processing with a memory function. Similar to the Convolutional layer, the output of recurrent layers are usually fed into a fully-connected layer for further processing. See also: RNN model. [6] [7] [8] The Normalization layer adjusts the output data from previous layers to achieve a regular distribution ...

  6. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    All transformers have the same primary components: Tokenizers, which convert text into tokens. Embedding layer, which converts tokens and positions of the tokens into vector representations. Transformer layers, which carry out repeated transformations on the vector representations, extracting more and more linguistic information.

  7. Neural network (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(machine...

    Typically, neurons are aggregated into layers. Different layers may perform different transformations on their inputs. Signals travel from the first layer (the input layer) to the last layer (the output layer), possibly passing through multiple intermediate layers (hidden layers). A network is typically called a deep neural network if it has at ...

  8. Immediate mode (computer graphics) - Wikipedia

    en.wikipedia.org/wiki/Immediate_mode_(computer...

    Immediate mode is an API design pattern in computer graphics libraries, in which . the client calls directly cause rendering of graphics objects to the display, or in which; the data to describe rendering primitives is inserted frame by frame directly from the client into a command list (in the case of immediate mode primitive rendering),

  9. Multilayer perceptron - Wikipedia

    en.wikipedia.org/wiki/Multilayer_perceptron

    If a multilayer perceptron has a linear activation function in all neurons, that is, a linear function that maps the weighted inputs to the output of each neuron, then linear algebra shows that any number of layers can be reduced to a two-layer input-output model.