| 000 | 01090nam a22002297a 4500 | ||
|---|---|---|---|
| 999 |
_c10569 _d10569 |
||
| 001 | 9111 | ||
| 003 | IN-BhIIT | ||
| 005 | 20200212111318.0 | ||
| 008 | 200212b ||||| |||| 00| 0 eng d | ||
| 020 | _a9783319583464 | ||
| 040 | _aIN-BhIIT | ||
| 041 | _aeng | ||
| 082 |
_a006.37 _bCSU/D |
||
| 245 | 0 | 0 |
_aDomain adaptation in computer vision applications / _cedited by Gabriela Csurka |
| 260 |
_aSwitzerland : _bSpringer, _c2017. |
||
| 300 |
_ax, 344p. : _bill ; _c24 cm. |
||
| 490 | _aAdvances in computer vision and pattern recognition. | ||
| 520 | _aThis comprehensive text/reference presents a broad review of diverse domain adaptation (DA) methods for machine learning, with a focus on solutions for visual applications. The book collects together solutions and perspectives proposed by an international selection of pre-eminent experts in the field, addressing not only classical image categorization but also other computer vision tasks such as detection | ||
| 650 |
_aComputer vision. _aCOMPUTERS -- General. _912427 |
||
| 700 |
_aCsurka, Gabriela _eeditor _912428 |
||
| 942 | _cTRB | ||