This book provides a broader introduction to the theories and applications of sparse coding techniques in computer vision research. It introduces sparse coding in the context of representation learning, illustrates the fundamental concepts, and summarizes the most active research directions. A variety of applications of sparse coding are discussed, ranging from low-level image processing tasks such as super-resolution and de-blurring to high-level semantic understanding tasks such as image recognition, clustering and fusion.The book is suitable to be used as an introductory overview to this field, with its theoretical part being both easy and precious enough for quick understanding. It is also of great value to experienced researchers as it offers new perspective to the underlying mechanism of sparse coding, and points out potential future directions for different applications.

Towering skyscrapers, manned space flights, the Olympics...From some angles, the new China is a country of dreams fulfilled, of glory and pride. But with new pleasures come new desires, new utopias to imagine just around the bend. These "Fancy Dreams" from 10 young artists ask, "What next?" The collective work, which recently showed in Beijing, merges into a multicolored playground: installations, videos, photographs and traditional forms entwine so that the barriers and the borders among them melt away. The spectator finds himself at a fun fair or an amusement park, where art becomes a relief from its own political questions, an aesthetic pleasure as much as an intriguing set of ideas.