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This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision.

Topics and features: provides a thorough introduction to the fundamentals of sparse representation, modeling and learning, and the application of these techniques in visual recognition; describes sparse recovery approaches, robust and efficient sparse...

As industrial, commercial, and residential demands increase and with the rise of privatization and deregulation of the electric energy industry around the world, it is necessary to improve the performance of electric operational management. Intelligent Energy Demand Forecasting offers approaches and methods to calculate optimal electric energy allocation to reach equilibrium of the supply and demand.

Evolutionary algorithms and intelligent analytical tools to improve energy demand forecasting accuracy are explored and explained in relation to existing methods. To...

In ihrem Meisterwerk Geschichten vom Hulanfluß läßt die chinesische Schriftstellerin Xiao Hong den Ort und die Zeit ihrer Kindheit Wiederaufleben. Aus der Warte des kleinen Mädchens beschreibt sie das Städtchen Hulan im Nordosten Chinas zu Beginn des 20. Jahrhunderts und das Familienleben in einem chinesischen Wohnhof. Das unbeschwerte Zusammensein mit dem Großvater kontrastiert sie mit der Kälte im Elternhaus, wo einem Mädchen nur Verachtung geschenkt wird. Mit feiner Ironie beobachtet die Erzählerin die »Attraktionen« des Städtchens wie Tempelfeste und den Tanz der...

The five-volume set LNCS 10111-10115 constitutes the thoroughly refereed post-conference proceedings of the 13th Asian Conference on Computer Vision, ACCV 2016, held in Taipei, Taiwan, in November 2016.

The total of 143 contributions presented in these volumes was carefully reviewed and selected from 479 submissions. The papers are organized in topical sections on Segmentation and Classification; Segmentation and Semantic Segmentation; Dictionary Learning, Retrieval, and Clustering; Deep Learning; People Tracking and Action Recognition; People and Actions; Faces; Computational...