| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0476980 |
| utime |
20240103214354.1 |
| mtime |
20170814235959.9 |
| SCOPUS |
85028456746 |
| WOS |
000432084600024 |
| DOI |
10.1007/978-3-319-64698-5_24 |
| title
(primary) (eng) |
Feature Selection on Affine Moment Invariants in Relation to Known Dependencies |
| specification |
| page_count |
11 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0477026 |
| ISBN |
978-3-319-64698-5 |
| title
|
Computer Analysis of Images and Patterns : 17th International Conference, CAIP 2017 |
| part_title |
Part II |
| page_num |
285-295 |
| publisher |
| place |
Cham |
| name |
Springer |
| year |
2017 |
|
| editor |
|
| editor |
|
| editor |
|
|
| keyword |
Affine invariants |
| keyword |
Image moments |
| keyword |
Feature selection |
| keyword |
Machine learning |
| keyword |
Pattern recognition |
| author
(primary) |
| ARLID |
cav_un_auth*0293261 |
| name1 |
Zita |
| name2 |
Aleš |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept (eng) |
Department of Image Processing |
| department (cz) |
ZOI |
| department (eng) |
ZOI |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101087 |
| name1 |
Flusser |
| name2 |
Jan |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101203 |
| name1 |
Suk |
| name2 |
Tomáš |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0293863 |
| name1 |
Kotera |
| name2 |
Jan |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0314467 |
| project_id |
GA15-16928S |
| agency |
GA ČR |
|
| project |
| ARLID |
cav_un_auth*0348578 |
| project_id |
1094216 |
| agency |
GA UK |
| country |
CZ |
|
| abstract
(eng) |
Moment invariants are one of the techniques of feature extraction frequently used for pattern recognition algorithms. A moment is a projection of function into polynomial basis and an invariant is a function returning the same value for an input with and without particular class of degradation. Several techniques of moment invariant creation exist often generating over-complete set of invariants. Dependencies in these sets are commonly in a form of complicated polynomials, further-\nmore they can contain dependencies of higher orders. These theoretical dependencies are valid in the continuous domain but it is well known that in discrete cases are often invalidated by discretization. Therefore, it would be feasible to begin classi cation with such an over-complete\nset and adaptively nd the pseudo-independent set of invariants by the means of feature selection techniques. This study focuses on testing of the infuence of theoretical invariant dependencies in discrete pattern recognition applications. |
| action |
| ARLID |
cav_un_auth*0348547 |
| name |
International Conference on Computer Analysis of Images and Patterns (CAIP 2017) /17./ |
| dates |
20170822 |
| mrcbC20-s |
20170824 |
| place |
Ystad |
| country |
SE |
|
| RIV |
JD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20205 |
| reportyear |
2018 |
| num_of_auth |
4 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0273427 |
| confidential |
S |
| mrcbC83 |
RIV/67985556:_____/17:00476980!RIV18-AV0-67985556 191975666 Doplnění UT WOS |
| mrcbC83 |
RIV/67985556:_____/17:00476980!RIV18-GA0-67985556 191965017 Doplnění UT WOS |
| mrcbC86 |
n.a. Proceedings Paper Computer Science Theory Methods|Imaging Science Photographic Technology |
| mrcbC86 |
n.a. Proceedings Paper Computer Science Theory Methods|Imaging Science Photographic Technology |
| mrcbC86 |
n.a. Proceedings Paper Computer Science Theory Methods|Imaging Science Photographic Technology |
| arlyear |
2017 |
| mrcbU14 |
85028456746 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000432084600024 WOS |
| mrcbU63 |
cav_un_epca*0477026 Computer Analysis of Images and Patterns : 17th International Conference, CAIP 2017 Part II 978-3-319-64698-5 285 295 Cham Springer 2017 Lecture Notes in Computer Science LNCS 10425 |
| mrcbU67 |
Felsberg M. 340 |
| mrcbU67 |
340 Heyden A. |
| mrcbU67 |
340 Krüger N. |
|