03446nam 22006135 450 991029896900332120200704081240.03-319-07416-410.1007/978-3-319-07416-0(CKB)3710000000227346(EBL)1802522(SSID)ssj0001338454(PQKBManifestationID)11780363(PQKBTitleCode)TC0001338454(PQKBWorkID)11337922(PQKB)11507716(MiAaPQ)EBC1802522(DE-He213)978-3-319-07416-0(PPN)180624008(EXLCZ)99371000000022734620140828d2014 u| 0engur|n|---|||||txtccrRobust Recognition via Information Theoretic Learning /by Ran He, Baogang Hu, Xiaotong Yuan, Liang Wang1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (120 p.)SpringerBriefs in Computer Science,2191-5768Description based upon print version of record.1-322-13665-3 3-319-07415-6 Includes bibliographical references.Introduction -- M-estimators and Half-quadratic Minimization -- Information Measures -- Correntropy and Linear Representation -- ℓ1 Regularized Correntropy -- Correntropy with Nonnegative Constraint.This Springer Brief represents a comprehensive review of information theoretic methods for robust recognition. A variety of information theoretic methods have been proffered in the past decade, in a large variety of computer vision applications; this work brings them together, attempts to impart the theory, optimization and usage of information entropy. The authors resort to a new information theoretic concept, correntropy, as a robust measure and apply it to solve robust face recognition and object recognition problems. For computational efficiency, the brief introduces the additive and multiplicative forms of half-quadratic optimization to efficiently minimize entropy problems and a two-stage sparse presentation framework for large scale recognition problems. It also describes the strengths and deficiencies of different robust measures in solving robust recognition problems.SpringerBriefs in Computer Science,2191-5768Optical data processingComputer Imaging, Vision, Pattern Recognition and Graphicshttps://scigraph.springernature.com/ontologies/product-market-codes/I22005Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Optical data processing.Computer Imaging, Vision, Pattern Recognition and Graphics.Image Processing and Computer Vision.006.3006.37He Ranauthttp://id.loc.gov/vocabulary/relators/aut929219Hu Baogangauthttp://id.loc.gov/vocabulary/relators/autYuan Xiaotongauthttp://id.loc.gov/vocabulary/relators/autWang Liangauthttp://id.loc.gov/vocabulary/relators/autBOOK9910298969003321Robust Recognition via Information Theoretic Learning2088436UNINA