| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0411320 |
| utime |
20240103182318.2 |
| mtime |
20060210235959.9 |
| ISBN |
3-540-25054-9 |
| title
(primary) (eng) |
Current feature selection techniques in pattern recognition |
| publisher |
| place |
Heidelberg |
| name |
Springer |
| pub_time |
2005 |
|
| specification |
|
| edition |
| name |
Advances in Soft Computing. |
|
| serial |
| title
|
Proceedings of the 4th International Conference on Computer Recognition Systems |
| page_num |
53-68 |
| editor |
|
| editor |
|
| editor |
|
|
| title
(cze) |
Současné metody výběru příznaků v rozpoznávání obrazů |
| keyword |
feature selection |
| keyword |
statistical pattern recognition |
| author
(primary) |
| ARLID |
cav_un_auth*0101182 |
| name1 |
Pudil |
| name2 |
Pavel |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101197 |
| name1 |
Somol |
| name2 |
Petr |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| COSATI |
09J |
| COSATI |
09K |
| cas_special |
| project |
| project_id |
GA402/03/1310 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0009030 |
|
| project |
| project_id |
1M0572 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0001814 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
The paper addresses the problem of feature selection (abbreviated FS in the sequel) in statistical pattern recognition with particular emphasis to recent knowledge. Besides over-viewing advances in methodology it attempts to put them into a taxonomical framework. The methods discussed include the latest variants of the Branch & Bound algorithm, enhanced sub-optimal techniques and the simultaneous semi-parametric probability density function modeling and feature space selection method. |
| abstract
(cze) |
Článek uvádí přehled současných metod výběru příznaků (FS) ve statistickém rozpoznávání. Diskutované metody zahrnují nejnovější varianty algoritmů větví a mezí, pokročilé sub-optimální metody a semi-parametrické modelování hustot spojené s výběrem příznaků. |
| action |
| ARLID |
cav_un_auth*0213180 |
| name |
CORES'05 /4./ |
| place |
Rydzyna |
| country |
PL |
| dates |
22.05.2005-25.05.2005 |
|
| RIV |
BD |
| reportyear |
2006 |
| department |
RO |
| permalink |
http://hdl.handle.net/11104/0131403 |
| ID_orig |
UTIA-B 20050049 |
| arlyear |
2005 |
| mrcbU10 |
2005 |
| mrcbU10 |
Heidelberg Springer |
| mrcbU12 |
3-540-25054-9 |
| mrcbU63 |
Proceedings of the 4th International Conference on Computer Recognition Systems 53 68 |
| mrcbU67 |
Kurzynski M. 340 |
| mrcbU67 |
Puchala E. 340 |
| mrcbU67 |
Wozniak M. 340 |
|