LEADER 03910nam  22008055  450 
001 9910595040203321
005 20260126104022.0
010   $a9783031167881
010   $a3031167880
024 7 $a10.1007/978-3-031-16788-1
035   $a(CKB)5840000000091747
035   $a(MiAaPQ)EBC7102120
035   $a(Au-PeEL)EBL7102120
035   $a(PPN)264953169
035   $a(OCoLC)1492942582
035   $a(DE-He213)978-3-031-16788-1
035   $a(EXLCZ)995840000000091747
100   $a20220922d2022      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aPattern Recognition $e44th DAGM German Conference, DAGM GCPR 2022, Konstanz, Germany, September 27?30, 2022, Proceedings /$fedited by Björn Andres, Florian Bernard, Daniel Cremers, Simone Frintrop, Bastian Goldlücke, Ivo Ihrke
205   $a1st ed. 2022.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022.
215   $a1 online resource (607 pages)
225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13485
311 08$a9783031167874 
311 08$a3031167872 
327   $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.
330   $aThis book constitutes the refereed proceedings of the 44th DAGM German Conference on Pattern Recognition, DAGM GCPR 2022, which was held during September 27 ? 30, 2022. The 37 papers presented in this volume were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: machine learning methods; unsupervised, semi-supervised and transfer learning; interpretable machine learning; low-level vision and computational photography; motion, pose estimation and tracking; 3D vision and stereo; detection and recognition; language and vision; scene understanding; photogrammetry and remote sensing; pattern recognition in the life and natural sciences; systems and applications.
410  0$aLecture Notes in Computer Science,$x1611-3349 ;$v13485
606   $aImage processing$xDigital techniques
606   $aComputer vision
606   $aArtificial intelligence
606   $aComputer engineering
606   $aComputer networks
606   $aComputer systems
606   $aEducation$xData processing
606   $aComputer Imaging, Vision, Pattern Recognition and Graphics
606   $aArtificial Intelligence
606   $aComputer Engineering and Networks
606   $aComputer System Implementation
606   $aComputers and Education
606   $aReconeixement de formes (Informàtica)$2thub
608   $aLlibres electrònics$2thub
615  0$aImage processing$xDigital techniques.
615  0$aComputer vision.
615  0$aArtificial intelligence.
615  0$aComputer engineering.
615  0$aComputer networks.
615  0$aComputer systems.
615  0$aEducation$xData processing.
615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics.
615 24$aArtificial Intelligence.
615 24$aComputer Engineering and Networks.
615 24$aComputer System Implementation.
615 24$aComputers and Education.
615  7$aReconeixement de formes (Informàtica)
676   $a152.1423
676   $a006.42
702   $aAndres$b Bjo?
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910595040203321
996   $aPattern Recognition$9381471
997   $aUNINA