001449866 000__ 03540cam\a2200613\i\4500 001449866 001__ 1449866 001449866 003__ OCoLC 001449866 005__ 20230310004422.0 001449866 006__ m\\\\\o\\d\\\\\\\\ 001449866 007__ cr\cn\nnnunnun 001449866 008__ 220928s2022\\\\sz\a\\\\o\\\\\101\0\eng\d 001449866 020__ $$a9783031167881$$q(electronic bk.) 001449866 020__ $$a3031167880$$q(electronic bk.) 001449866 020__ $$z9783031167874 001449866 0247_ $$a10.1007/978-3-031-16788-1$$2doi 001449866 035__ $$aSP(OCoLC)1346148493 001449866 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCF$$dOCLCQ 001449866 049__ $$aISEA 001449866 050_4 $$aQ337.5 001449866 08204 $$a006.4$$223/eng/20220928 001449866 1112_ $$aGCPR (Conference)$$n(44th :$$d2022 :$$cKonstanz, Germany). 001449866 24510 $$aPattern recognition :$$b44th DAGM German Conference, DAGM GCPR 2022, Konstanz, Germany, September 27-30, 2022, proceedings /$$cBjörn Andres, Florian Bernard, Daniel Cremers, Simone Frintrop, Bastian Goldlücke, Ivo Ihrke (eds.). 001449866 24630 $$aDAGM GCPR 2022 001449866 264_1 $$aCham :$$bSpringer,$$c[2022] 001449866 264_4 $$c©2022 001449866 300__ $$a1 online resource (xiv, 608 pages) :$$billustrations (chiefly color). 001449866 336__ $$atext$$btxt$$2rdacontent 001449866 337__ $$acomputer$$bc$$2rdamedia 001449866 338__ $$aonline resource$$bcr$$2rdacarrier 001449866 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v13485 001449866 500__ $$aInternational conference proceedings. 001449866 500__ $$aIncludes author index. 001449866 5050_ $$aMachine Learning Methods -- Unsupervised, Semi-supervised and Transfer Learning -- Interpretable Machine Learning -- Low-level Vision and Computational Photography -- Motion, Pose Estimation and Tracking -- 3D Vision and Stereo -- Detection and Recognition -- Language and Vision -- Scene Understanding -- Photogrammetry and Remote Sensing -- Pattern Recognition in the Life and Natural Sciences -- Systems and Applications. 001449866 506__ $$aAccess limited to authorized users. 001449866 520__ $$aThis book constitutes the refereed proceedings of the 44th DAGM German Conference on Pattern Recognition, DAGM GCPR 2022, which was held during September 27 - 30, 2022. The 37 papers presented in this volume were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: machine learning methods; unsupervised, semi-supervised and transfer learning; interpretable machine learning; low-level vision and computational photography; motion, pose estimation and tracking; 3D vision and stereo; detection and recognition; language and vision; scene understanding; photogrammetry and remote sensing; pattern recognition in the life and natural sciences; systems and applications. 001449866 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 28, 2022). 001449866 650_0 $$aPattern recognition systems$$vCongresses. 001449866 650_0 $$aPattern perception$$vCongresses. 001449866 655_0 $$aElectronic books. 001449866 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001449866 655_7 $$aConference papers and proceedings.$$2lcgft 001449866 7001_ $$aAndres, Björn,$$eeditor. 001449866 7001_ $$aBernard, Florian,$$eeditor. 001449866 7001_ $$aCremers, Daniel,$$eeditor. 001449866 7001_ $$aFrintrop, Simone,$$eeditor. 001449866 7001_ $$aGoldlücke, Bastian,$$eeditor. 001449866 7001_ $$aIhrke, Ivo,$$eeditor. 001449866 830_0 $$aLecture notes in computer science ;$$v13485.$$x1611-3349 001449866 852__ $$bebk 001449866 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16788-1$$zOnline Access$$91397441.1 001449866 909CO $$ooai:library.usi.edu:1449866$$pGLOBAL_SET 001449866 980__ $$aBIB 001449866 980__ $$aEBOOK 001449866 982__ $$aEbook 001449866 983__ $$aOnline 001449866 994__ $$a92$$bISE