LEADER 01183nam 2200397 450 001 9910155646503321 005 20221215210450.0 010 $a1-4103-4929-2 035 $a(CKB)3710000000903706 035 $a(MiAaPQ)EBC4711879 035 $a(EXLCZ)993710000000903706 100 $a20161018h20092009 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 02$aA study guide for "Imagism" 205 $aSecond edition. 210 1$aFarmington Hills, Michigan :$cGale,$d2009. 210 4$dİ2009 215 $a1 online resource (30 pages) 225 0 $aLiterary Movements for Students ;$vVolume 1 320 $aIncludes bibliographical references. 606 $aImagist poetry$xHistory and criticism 606 $aAmerican poetry$y20th century$xHistory and criticism 615 0$aImagist poetry$xHistory and criticism. 615 0$aAmerican poetry$xHistory and criticism. 676 $a811.5209 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910155646503321 996 $aA study guide for "Imagism"$92991582 997 $aUNINA LEADER 04424oam 2200529I 450 001 9910973142303321 005 20251117090405.0 010 $a1-315-51701-9 010 $a1-315-51699-3 010 $a1-315-51700-0 024 7 $a10.4324/9781315517018 035 $a(CKB)3710000001151395 035 $a(MiAaPQ)EBC4838075 035 $a(OCoLC)982187527 035 $a(BIP)61805194 035 $a(BIP)56988629 035 $a(EXLCZ)993710000001151395 100 $a20180706e20171995 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aCognitive and computational aspects of face recognition $eexplorations in face space /$fedited by Tim Valentine 210 1$aAbingdon, Oxon :$cRoutledge,$d2017. 215 $a1 online resource (254 pages) $cillustrations 225 0 $aPsychology Library Editions: Perception ;$vVolume 29 300 $aFirst published in 1995. 311 08$a1-138-69933-0 320 $aIncludes bibliographical references at the end of each chapters and indexes. 327 $a1. The development of face recognition / Robert A. Johnston and Hadyn D. Ellis -- 2. Expertise and the caricature advantage / Sarah V. Stevenage -- 3. Face recognition and configural coding / Gillian Rhodes -- 4. An account of the own-race bias and the contact hypthesis based on a 'face space' model of face recognition / Tim Valentine, Patrick Chiroro and Ruth Dixon -- 5. Distinctiveness and memory for unfamiliar faces / Judith A. Hosie and Alan B. Milne -- 6. Memorability, familiarity and categorical structure in the recognition of faces / John R. Vokey and J. Don Read -- 7. Missing dimensions of distinctiveness / Vicki Bruce, A. Mike Burton and Peter J. Hancock -- 8. A perceptual learning theory of the information in faces / Alice J. O'Toole. [et al.] -- 9. A manifold model of face and object recognition / Ian Craw -- 10. Perspectives on face perception. Directing research by exploiting emergent prototypes / Philip J. Benson. 330 $aHow can computers recognize faces? Why are caricatures of famous faces so easily recognized? Originally published in 1995, much of the previous research on face recognition had been phenomena driven. Recent empirical work together with the application of computational, mathematical and statistical techniques have provided new ways of conceptualizing the information available in faces. These advances have led researchers to suggest that many phenomena can be explained by the structure of the information available in the population(s) of faces. This broad approach has drawn together a number of apparently disparate phenomena with a common theoretical basis, including cross-race recognition; the distinctiveness of faces; the production and recognition of caricatures; and the determinants of facial attractiveness. This title provides a state of the art review of the field at the time in which the authors use a wide variety of approaches. What is common to all is that the authors base the accounts of the phenomena they study or their model of face recognition on the statistics of the information available in the population of faces. On publication this title was a comprehensive, up-to-date review of an important area of research in face recognition written by active researchers. It includes contributions from mathematics, computer science and neural network theory as well as psychology. It is aimed at research workers and postgraduate students and will be of interest to cognitive psychologists and computer scientists interested in face recognition. It will also be of interest to those working on neural network models of visual recognition, perceptual development, expertise in visual cognition as well as facial attractiveness and caricature. 606 $aFace perception$vCongresses 606 $aFace perception$xComputer simulation$vCongresses 606 $aFace perception$xMathematical models$vCongresses 615 0$aFace perception 615 0$aFace perception$xComputer simulation 615 0$aFace perception$xMathematical models 676 $a153.7/5 701 $aValentine$b Tim$f1959-$01619313 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910973142303321 996 $aCognitive and computational aspects of face recognition$94477763 997 $aUNINA