001446313 000__ 04069cam\a2200565Ii\4500 001446313 001__ 1446313 001446313 003__ OCoLC 001446313 005__ 20230310003951.0 001446313 006__ m\\\\\o\\d\\\\\\\\ 001446313 007__ cr\un\nnnunnun 001446313 008__ 220430s2022\\\\sz\a\\\\ob\\\\001\0\eng\d 001446313 019__ $$a1313479624$$a1313893050 001446313 020__ $$a9783030909871$$q(electronic bk.) 001446313 020__ $$a3030909875$$q(electronic bk.) 001446313 020__ $$z9783030909864 001446313 020__ $$z3030909867 001446313 0247_ $$a10.1007/978-3-030-90987-1$$2doi 001446313 035__ $$aSP(OCoLC)1313386673 001446313 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dN$T$$dUKAHL$$dOCLCQ 001446313 049__ $$aISEA 001446313 050_4 $$aTA1634 001446313 08204 $$a006.3/7$$223/eng/20220504 001446313 1001_ $$aBetti, Alessandro,$$eauthor. 001446313 24510 $$aDeep learning to see :$$btowards new foundations of computer vision /$$cAlessandro Betti, Marco Gori, Stefano Melacci. 001446313 264_1 $$aCham :$$bSpringer,$$c[2022] 001446313 264_4 $$c©2022 001446313 300__ $$a1 online resource :$$billustrations (some color). 001446313 336__ $$atext$$btxt$$2rdacontent 001446313 337__ $$acomputer$$bc$$2rdamedia 001446313 338__ $$aonline resource$$bcr$$2rdacarrier 001446313 4901_ $$aSpringerBriefs in computer science 001446313 504__ $$aIncludes bibliographical references and index. 001446313 5050_ $$a1. Introduction -- 2. Cutting the Umbilical Cord with Pattern Recognition -- 3. Spatiotemporal Visual Environments -- 4. Hierarchical Description of Visual Tasks -- 5. Benchmarks and the "En Plein Air" Challenge. 001446313 506__ $$aAccess limited to authorized users. 001446313 520__ $$aThe remarkable progress in computer vision over the last few years is, by and large, attributed to deep learning, fueled by the availability of huge sets of labeled data, and paired with the explosive growth of the GPU paradigm. While subscribing to this view, this book criticizes the supposed scientific progress in the field, and proposes the investigation of vision within the framework of information-based laws of nature. Specifically, the present work poses fundamental questions about vision that remain far from understood, leading the reader on a journey populated by novel challenges resonating with the foundations of machine learning. The central thesis is that for a deeper understanding of visual computational processes, it is necessary to look beyond the applications of general purpose machine learning algorithms, and focus instead on appropriate learning theories that take into account the spatiotemporal nature of the visual signal. Topics and features: Presents a curiosity-driven approach, posing questions to stimulate readers to design novel computational models of vision Offers a rethinking of computer vision, arguing for an approach based on vision in nature, versus regarding visual signals as collections of images Provides an interdisciplinary commentary, aiming to unify computer vision, machine learning, human vision, and computational neuroscience Serving to inspire and stimulate critical reflection and discussion, yet requiring no prior advanced technical knowledge, the text can naturally be paired with classic textbooks on computer vision to better frame the current state of the art, open problems, and novel potential solutions. This unique volume will be of great benefit to graduate and advanced undergraduate students in computer science, computational neuroscience, physics, and other related disciplines. 001446313 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 4, 2022). 001446313 650_0 $$aComputer vision. 001446313 650_0 $$aDeep learning (Machine learning) 001446313 650_6 $$aVision par ordinateur. 001446313 655_0 $$aElectronic books. 001446313 7001_ $$aGori, Marco,$$eauthor. 001446313 7001_ $$aMelacci, Stefano,$$eauthor. 001446313 77608 $$iPrint version:$$z3030909867$$z9783030909864$$w(OCoLC)1274200245 001446313 830_0 $$aSpringerBriefs in computer science. 001446313 852__ $$bebk 001446313 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-90987-1$$zOnline Access$$91397441.1 001446313 909CO $$ooai:library.usi.edu:1446313$$pGLOBAL_SET 001446313 980__ $$aBIB 001446313 980__ $$aEBOOK 001446313 982__ $$aEbook 001446313 983__ $$aOnline 001446313 994__ $$a92$$bISE