| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0467543 |
| utime |
20240103213205.4 |
| mtime |
20161219235959.9 |
| SCOPUS |
85019092045 |
| WOS |
000406771303097 |
| DOI |
10.1109/ICPR.2016.7900193 |
| title
(primary) (eng) |
Simultaneous Visualization of Samples, Features and Multi-Labels |
| specification |
| page_count |
6 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0467540 |
| ISBN |
978-1-5090-4846-5 |
| title
|
Proceedings of the 23rd International Conference on Pattern Recognition (ICPR) |
| page_num |
3592-3597 |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2016 |
|
|
| keyword |
Visualization |
| keyword |
matrix factorization |
| author
(primary) |
| ARLID |
cav_un_auth*0021088 |
| share |
25 |
| name1 |
Kudo |
| name2 |
M. |
| country |
JP |
|
| author
|
| ARLID |
cav_un_auth*0037626 |
| share |
25 |
| name1 |
Kimura |
| name2 |
K. |
| country |
JP |
|
| author
|
| ARLID |
cav_un_auth*0101093 |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| full_dept |
Department of Pattern Recognition |
| share |
25 |
| name1 |
Haindl |
| name2 |
Michal |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0339754 |
| share |
25 |
| name1 |
Tenmoto |
| name2 |
H. |
| country |
JP |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0339755 |
| project_id |
15H02719 |
| agency |
JSPS KAKENHI |
| country |
JP |
|
| abstract
(eng) |
Visualization helps us to understand single-label and multi-label classification problems. In this paper, we show several standard techniques for simultaneous visualization of samples, features and multi-classes on the basis of linear regression and matrix factorization. The experiment with two real-life multilabel datasets showed that such techniques are effective to know how labels are correlated to each other and how features are related to labels in a given multi-label classification problem. |
| action |
| ARLID |
cav_un_auth*0340495 |
| name |
23rd International Conference on Pattern Recognition ICPR 2016 |
| dates |
20161204 |
| mrcbC20-s |
20161208 |
| place |
Cancún |
| country |
MX |
|
| RIV |
BD |
| reportyear |
2017 |
| num_of_auth |
4 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0266461 |
| confidential |
S |
| article_num |
88 |
| mrcbC86 |
3+4 Proceedings Paper Computer Science Artificial Intelligence |
| arlyear |
2016 |
| mrcbU14 |
85019092045 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000406771303097 WOS |
| mrcbU63 |
cav_un_epca*0467540 Proceedings of the 23rd International Conference on Pattern Recognition (ICPR) 978-1-5090-4846-5 3592 3597 Piscataway IEEE 2016 |
|