visual pattern recognition

  • 121K-nearest neighbor algorithm — In pattern recognition, the k nearest neighbor algorithm ( k NN) is a method for classifying objects based on closest training examples in the feature space. k NN is a type of instance based learning, or lazy learning where the function is only… …

    Wikipedia

  • 122Grandmother cell — The grandmother cell, also known as the gnostic neuron, is a hypothetical neuron that represents a person s grandmother or, more generally, any complex and specific concept or object. [http://www.as.wvu.edu/daly/439/readings/Gross%202002%20Grandmo… …

    Wikipedia

  • 123Computational visualistics — The term Computational visualistics is used for addressing the whole range of investigating scientifically pictures “in” the computer.[1] Contents 1 Overview 2 Areas covered 2.1 Algorithms from »image« to »im …

    Wikipedia

  • 124Structure tensor — Structure tensors (or second moment matrices) are matrix representations of partial derivatives. In the field of image processing and computer vision, they are typically used to represent gradients, edges or similar information. Structure tensors …

    Wikipedia

  • 125Ernest Lenard Hall — ] He has also served as a judge for the Cincinnati FIRST Lego League for two yearscite web |url=http://www.sme.org/cgi bin/find articles.pl? 07apm005 ME 20070409 SME #article|title=SME Member Supports DARPA Challenge|accessdate=2007 12… …

    Wikipedia

  • 126Chinese writing — Introduction       basically logographic writing system, one of the world s great writing systems.       Like Semitic writing in the West, Chinese script was fundamental to the writing systems in the East. Until relatively recently, Chinese… …

    Universalium

  • 127Index of optics articles — Optics is the branch of physics which involves the behavior and properties of light, including its interactions with matter and the construction of instruments that use or detect it.[1] Optics usually describes the behavior of visible,… …

    Wikipedia

  • 128Singular value decomposition — Visualization of the SVD of a 2 dimensional, real shearing matrix M. First, we see the unit disc in blue together with the two canonical unit vectors. We then see the action of M, which distorts the disk to an ellipse. The SVD decomposes M into… …

    Wikipedia