Non-convex and geometric methods for tomography and label learning
Gespeichert in:
MARC
| LEADER | 00000cam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1735408107 | ||
| 003 | DE-627 | ||
| 005 | 20240817110809.0 | ||
| 007 | tu | ||
| 008 | 201012s2020 gw ||||| m 00| ||eng c | ||
| 035 | |a (DE-627)1735408107 | ||
| 035 | |a (DE-599)KXP1735408107 | ||
| 035 | |a (OCoLC)1226122086 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 044 | |c XA-DE-BW | ||
| 082 | 0 | |a 516 |q SEPA | |
| 084 | |a 27 |2 sdnb | ||
| 084 | |a 27 |2 sdnb | ||
| 100 | 1 | |a Zisler, Matthias |d 1986- |e VerfasserIn |0 (DE-588)1154408760 |0 (DE-627)1015699901 |0 (DE-576)500933790 |4 aut | |
| 245 | 1 | 0 | |a Non-convex and geometric methods for tomography and label learning |c put forward by M.Sc. Matthias Zisler ; advisor: Prof. Dr. Christoph Schnörr |
| 264 | 1 | |a Heidelberg |c [2020?] | |
| 300 | |a xx, 127 Seiten |b Illustrationen, Diagramme | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 502 | |b Dissertation |c Heidelberg University |d 2020 | ||
| 546 | |a Mit einer Zusammenfassung in englischer und deutscher Sprache | ||
| 583 | 1 | |a Archivierung/Langzeitarchivierung gewährleistet |f DISS |x XA-DE-BW |2 pdager |5 DE-16 | |
| 655 | 7 | |a Hochschulschrift |0 (DE-588)4113937-9 |0 (DE-627)105825778 |0 (DE-576)209480580 |2 gnd-content | |
| 700 | 1 | |a Schnörr, Christoph |e AkademischeR BetreuerIn |0 (DE-588)1023033348 |0 (DE-627)717351017 |0 (DE-576)168404540 |4 dgs | |
| 710 | 2 | |a Universität Heidelberg |e Grad-verleihende Institution |0 (DE-588)2024349-2 |0 (DE-627)102161488 |0 (DE-576)191769517 |4 dgg | |
| 751 | |a Heidelberg |0 (DE-588)4023996-2 |0 (DE-627)106300814 |0 (DE-576)208952578 |4 uvp | ||
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |a Zisler, Matthias, 1986 - |t Non-convex and geometric methods for tomography and label learning |d Heidelberg, 2020 |h 1 Online-Ressource (148 Seiten) |w (DE-627)1733632387 |
| 951 | |a BO | ||
| 992 | |a 20201012 | ||
| 993 | |a Thesis | ||
| 998 | |g 1154408760 |a Zisler, Matthias |m 1154408760:Zisler, Matthias |d 110000 |d 110001 |e 110000PZ1154408760 |e 110001PZ1154408760 |k 0/110000/ |k 1/110000/110001/ |p 1 |x j |y j | ||
| 999 | |a KXP-PPN1735408107 |e 3778987224 | ||
| BIB | |a Y | ||
| JSO | |a {"origin":[{"dateIssuedDisp":"[2020?]","publisherPlace":"Heidelberg","dateIssuedKey":"2020"}],"type":{"bibl":"thesis"},"title":[{"title":"Non-convex and geometric methods for tomography and label learning","title_sort":"Non-convex and geometric methods for tomography and label learning"}],"language":["eng"],"person":[{"display":"Zisler, Matthias","family":"Zisler","role":"aut","given":"Matthias"},{"family":"Schnörr","display":"Schnörr, Christoph","given":"Christoph","role":"dgs"}],"corporate":[{"role":"dgg","display":"Universität Heidelberg"}],"noteThesis":["Dissertation. - Heidelberg University. - 2020"],"id":{"eki":["1735408107"]},"physDesc":[{"noteIll":"Illustrationen, Diagramme","extent":"xx, 127 Seiten"}],"name":{"displayForm":["put forward by M.Sc. Matthias Zisler ; advisor: Prof. Dr. Christoph Schnörr"]},"recId":"1735408107"} | ||
| SRT | |a ZISLERMATTNONCONVEXA2020 | ||