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nearest-neighbor classifier system

См. также в других словарях:

  • Shape context — is the term given by Serge Belongie and Jitendra Malik to the feature descriptor they first proposed in their paper Matching with Shape Contexts in 2000cite conference author = S. Belongie and J. Malik title = Matching with Shape Contexts url =… …   Wikipedia

  • One-shot learning — is an object categorization problem of current research interest in computer vision. Whereas most machine learning based object categorization algorithms require training on hundreds or thousands of images and very large datasets, one shot… …   Wikipedia

  • Artificial intelligence — AI redirects here. For other uses, see Ai. For other uses, see Artificial intelligence (disambiguation). TOPIO, a humanoid robot, played table tennis at Tokyo International Robot Exhibition (IREX) 2009.[1] Artificial intelligence ( …   Wikipedia

  • Support vector machine — Support vector machines (SVMs) are a set of related supervised learning methods used for classification and regression. Viewing input data as two sets of vectors in an n dimensional space, an SVM will construct a separating hyperplane in that… …   Wikipedia

  • List of mathematics articles (N) — NOTOC N N body problem N category N category number N connected space N dimensional sequential move puzzles N dimensional space N huge cardinal N jet N Mahlo cardinal N monoid N player game N set N skeleton N sphere N! conjecture Nabla symbol… …   Wikipedia

  • Statistical classification — See also: Pattern recognition See also: Classification test In machine learning, statistical classification is the problem of identifying the sub population to which new observations belong, where the identity of the sub population is unknown, on …   Wikipedia

  • Computer-aided diagnosis — Computer aided detection (CADe) and computer aided diagnosis (CADx) are procedures in medicine that assist doctors in the interpretation of medical images. Imaging techniques in X ray, MRI, and Ultrasound diagnostics yield a great deal of… …   Wikipedia

  • Anomaly detection — Anomaly detection, also referred to as outlier detection[1] refers to detecting patterns in a given data set that do not conform to an established normal behavior.[2] The patterns thus detected are called anomalies and often translate to critical …   Wikipedia

  • Online machine learning — In machine learning, online learning is a model of induction that learns one instance at a time. The goal in online learning is to predict labels for instances. For example, the instances could describe the current conditions of the stock market …   Wikipedia

  • OpenCV — Original author(s) Intel Corporation Stable release 2.3.1 / August 17, 2011; 3 months ago ( …   Wikipedia

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