| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0040986 |
| utime |
20240103182722.1 |
| mtime |
20060908235959.9 |
| title
(primary) (eng) |
A trainable similarity measure for image classification |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0076753 |
| ISBN |
0-7695-2521-0 |
| title
|
Proceedings of the 18th Conference on Pattern Recognition. ICPR 2006 |
| part_title |
Pattern Recognition and Basic Technologies |
| page_num |
391-394 |
| publisher |
| place |
Los Alamitos |
| name |
IEEE |
| year |
2006 |
|
| editor |
|
| editor |
|
|
| title
(cze) |
Trenovatelná míra podobnosti pro klasifikaci obrazů. |
| keyword |
trainable similarity measure |
| keyword |
image classification |
| author
(primary) |
| ARLID |
cav_un_auth*0212668 |
| name1 |
Paclík |
| name2 |
P. |
| country |
NL |
|
| author
|
| ARLID |
cav_un_auth*0101171 |
| name1 |
Novovičová |
| name2 |
Jana |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0216548 |
| name1 |
Duin |
| name2 |
R.P.W. |
| country |
NL |
|
| COSATI |
09K |
| COSATI |
09J |
| COSATI |
12B |
| cas_special |
| project |
| project_id |
IAA2075302 |
| agency |
GA AV ČR |
| ARLID |
cav_un_auth*0001801 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
A design of the second stage of classifier based on the recently proposed trainable similarity measure, which is specifficaly designed for the supervised classification of images. The proposed measure is based on local matches in a set of regions within an image which incrases its robustness. The configuration of local regions is derived specifficaly for each prototype by a training procedure. The comparsion to the state-of-art AdaBoost slassifiers on a real-world pedestrain recognition problem is presented. |
| abstract
(cze) |
Návrh klasifikátoru založeného na nově zavedeném pojmu trenovatelná podobnost navrženého pro klasifikaci obrazů na základě trenovací množiny objektů se známou příslušností do předem definované třídy. Navržený klasifikátor dává lepší výsledky v porovnání s AdaBoost klasifikátorem na reálných datech rozpoznávání chodců. |
| action |
| ARLID |
cav_un_auth*0216473 |
| name |
International Conference on Pattern Recognition /18./ |
| place |
Hong-Kong |
| dates |
20.08.2006-24.08.2006 |
| country |
CN |
|
| reportyear |
2007 |
| RIV |
BB |
| permalink |
http://hdl.handle.net/11104/0134585 |
| arlyear |
2006 |
| mrcbU63 |
cav_un_epca*0076753 Proceedings of the 18th Conference on Pattern Recognition. ICPR 2006 Pattern Recognition and Basic Technologies 0-7695-2521-0 391 394 Los Alamitos IEEE 2006 |
| mrcbU67 |
Haralic B. 340 |
| mrcbU67 |
Ho T. K. 340 |
|