| bibtype |
J -
Journal Article
|
| ARLID |
0410431 |
| utime |
20240103182213.6 |
| mtime |
20060210235959.9 |
| title
(primary) (eng) |
Road sing classification using Laplace kernel classifier |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0257389 |
| ISSN |
0167-8655 |
| title
|
Pattern Recognition Letters |
| volume_id |
21 |
| page_num |
1165-1173 |
| publisher |
|
|
| author
(primary) |
| ARLID |
cav_un_auth*0101174 |
| name1 |
Paclík |
| name2 |
Pavel |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| 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*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 |
12B |
| COSATI |
09K |
| cas_special |
| project |
| project_id |
VS96063 |
| agency |
MŠMT |
| country |
CZ |
| ARLID |
cav_un_auth*0025066 |
|
| project |
| project_id |
IAA2075608 |
| agency |
GA AV |
| country |
CZ |
| ARLID |
cav_un_auth*0012931 |
|
| project |
| project_id |
IAA2075606 |
| agency |
GA AV |
| country |
CZ |
| ARLID |
cav_un_auth*0012930 |
|
| research |
AV0Z1075907 |
| abstract
(eng) |
The Laplace kernel rule for the road sign classification based on a priori information about road signs grouping has been developed. The smoothing parameters of the Laplace kernel are optimized by the pseudo-likelihood cross-validation method using the Expectation-Maximization algorithm. The new classification algorithm has been successfully tested on more than 1100 images of 43 road sign types. The comparison with the Bayes classifier assuming the Gaussian mixtures has been made. |
| RIV |
BB |
| department |
RO |
| permalink |
http://hdl.handle.net/11104/0130520 |
| ID_orig |
UTIA-B 20000147 |
| arlyear |
2000 |
| mrcbU63 |
cav_un_epca*0257389 Pattern Recognition Letters 0167-8655 1872-7344 Roč. 21 13/14 2000 1165 1173 Elsevier |
|