local classifier
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Subobject classifier — In category theory, a subobject classifier is a special object Omega; of a category; intuitively, the subobjects of an object X correspond to the morphisms from X to Omega;. As the name suggests, what a subobject classifier does is to… … Wikipedia
Bag of words model in computer vision — This is an article introducing the Bag of words model (BoW) in computer vision, especially for object categorization. From now, the BoW model refers to the BoW model in computer vision unless explicitly declared.Before introducing the BoW model,… … Wikipedia
Boosting methods for object categorization — Given images containing various known objects in the world, a classifier can be learned from them to automatically categorize the objects in future images. Simple classifiers built based on some image feature of the object tend to be weak in… … Wikipedia
Glossary of Unified Modeling Language terms — This glossary of Unified Modeling Language terms covers all versions of UML. Individual entries will point out any distinctions that exist between versions.A* Abstract An indicator applied to a classifier (e.g., actor, class, use case) or to some … 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
List of mathematics articles (L) — NOTOC L L (complexity) L BFGS L² cohomology L function L game L notation L system L theory L Analyse des Infiniment Petits pour l Intelligence des Lignes Courbes L Hôpital s rule L(R) La Géométrie Labeled graph Labelled enumeration theorem Lack… … Wikipedia
Word-sense disambiguation — Disambiguation redirects here. For other uses, see Disambiguation (disambiguation). In computational linguistics, word sense disambiguation (WSD) is an open problem of natural language processing, which governs the process of identifying which… … Wikipedia
Supervised learning — is a machine learning technique for learning a function from training data. The training data consist of pairs of input objects (typically vectors), and desired outputs. The output of the functioncan be a continuous value (called regression), or… … Wikipedia
Prior knowledge for pattern recognition — Pattern recognition is a very active field of research intimately bound to machine learning. Also known as classification or statistical classification, pattern recognition aims at building a classifier that can determine the class of an input… … Wikipedia
Holonomie — En mathématiques, et plus précisément en géométrie différentielle, l holonomie d une connexion sur une variété différentielle est une mesure de la façon dont le transport parallèle le long de boucles fermées modifie les informations géométriques… … Wikipédia en Français
Contributors — ▪ 2000 Adams, Andy. Editor and Publisher, Sumo World. Author of Sumo; Sumo World Record Book. • sports and games: Judo; Wrestling: Sumo Ahn, Ki suk. Assistant Editor, Shindonga of Donga Ilbo. • biographies (in part) Alder,… … Universalium
