Электронная книга: Ling Guan «Unsupervised Learning. A Dynamic Approach»

Unsupervised Learning. A Dynamic Approach

A new approach to unsupervised learning Evolving technologies have brought about an explosion of information in recent years, but the question of how such information might be effectively harvested, archived, and analyzed remains a monumental challenge—for the processing of such information is often fraught with the need for conceptual interpretation: a relatively simple task for humans, yet an arduous one for computers. Inspired by the relative success of existing popular research on self-organizing neural networks for data clustering and feature extraction, Unsupervised Learning: A Dynamic Approach presents information within the family of generative, self-organizing maps, such as the self-organizing tree map (SOTM) and the more advanced self-organizing hierarchical variance map (SOHVM). It covers a series of pertinent, real-world applications with regard to the processing of multimedia data—from its role in generic image processing techniques, such as the automated modeling and removal of impulse noise in digital images, to problems in digital asset management and its various roles in feature extraction, visual enhancement, segmentation, and analysis of microbiological image data. Self-organization concepts and applications discussed include: Distance metrics for unsupervised clustering Synaptic self-amplification and competition Image retrieval Impulse noise removal Microbiological image analysis Unsupervised Learning: ADynamic Approach introduces a new family of unsupervised algorithms that have a basis in self-organization, making it an invaluable resource for researchers, engineers, and scientists who want to create systems that effectively model oppressive volumes of data with little or no user intervention.

Издательство: "John Wiley&Sons Limited"

ISBN: 9781118875230

электронная книга

Купить за 9961.23 руб и скачать на Litres

См. также в других словарях:

  • Artificial neural network — An artificial neural network (ANN), usually called neural network (NN), is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks. A neural network consists of an… …   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

  • Neural network — For other uses, see Neural network (disambiguation). Simplified view of a feedforward artificial neural network The term neural network was traditionally used to refer to a network or circuit of biological neurons.[1] The modern usage of the term …   Wikipedia

  • Structural health monitoring — The process of implementing a damage detection strategy for aerospace, civil and mechanical engineering infrastructure is referred to as Structural Health Monitoring (SHM). Here damage is defined as changes to the material and/or geometric… …   Wikipedia

  • Natural computing — For the scientific journal, see Natural Computing (journal). Natural computing, also called Natural computation, is a terminology introduced to encompass three classes of methods: 1) those that take inspiration from nature for the development of… …   Wikipedia

  • NeuroSolutions — SVM Network in NeuroSolutions Developer(s) NeuroDimension Operating system Microsoft Windows …   Wikipedia

  • Elliot Saltzman — [http://www.bu.edu/sargent/about/faculty/physical therapy/saltzman/] [http://www.haskins.yale.edu/staff/saltzman.html] is an American psychologist and speech scientist. He is a professor in the Department of Physical Therapy at Boston University… …   Wikipedia

  • BIBLE — THE CANON, TEXT, AND EDITIONS canon general titles the canon the significance of the canon the process of canonization contents and titles of the books the tripartite canon …   Encyclopedia of Judaism

  • Granular computing — is an emerging computing paradigm of information processing. It concerns the processing of complex information entities called information granules, which arise in the process of data abstraction and derivation of knowledge from information.… …   Wikipedia

  • Growing self-organizing map — A growing self organizing map (GSOM) is a growing variant of the popular self organizing map (SOM). The GSOM was developed to address the issue of identifying a suitable map size in the SOM. It starts with a minimal number of nodes (usually 4)… …   Wikipedia

  • WOMAN — This article is arranged according to the following outline: the historical perspective biblical period marriage and children women in household life economic roles educational and managerial roles religious roles women outside the household… …   Encyclopedia of Judaism

Поделиться ссылкой на выделенное

Прямая ссылка:
Нажмите правой клавишей мыши и выберите «Копировать ссылку»