| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0399659 |
| utime |
20240111140838.2 |
| mtime |
20131203235959.9 |
| SCOPUS |
84893168382 |
| DOI |
10.1007/978-3-642-41822-8_36 |
| title
(primary) (eng) |
On Stopping Rules in Dependency-Aware Feature Ranking |
| specification |
| page_count |
8 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0399658 |
| ISBN |
978-3-642-41821-1 |
| title
|
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications |
| page_num |
286-293 |
| publisher |
| place |
Heidelberg |
| name |
Springer |
| year |
2013 |
|
|
| keyword |
dimensionality reduction |
| keyword |
feature selection |
| keyword |
randomization and stopping rule |
| author
(primary) |
| ARLID |
cav_un_auth*0101197 |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept (eng) |
Department of Pattern Recognition |
| department (cz) |
RO |
| department (eng) |
RO |
| full_dept |
Department of Pattern Recognition |
| name1 |
Somol |
| name2 |
Petr |
| institution |
UTIA-B |
| garant |
G |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101091 |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| full_dept |
Department of Pattern Recognition |
| name1 |
Grim |
| name2 |
Jiří |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101086 |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| full_dept |
Department of Pattern Recognition |
| name1 |
Filip |
| name2 |
Jiří |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0021092 |
| name1 |
Pudil |
| name2 |
P. |
| country |
CZ |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0273627 |
| project_id |
GAP103/11/0335 |
| agency |
GA ČR |
|
| abstract
(eng) |
Feature Selection in very-high-dimensional or small sample problems is particularly prone to computational and robustness complications. It is common to resort to feature ranking approaches only or to randomization techniques. A recent novel approach to the randomization idea in form of Dependency-Aware Feature Ranking (DAF) has shown great potential in tackling these problems well. Its original definition, however, leaves several technical questions open. In this paper we address one of these questions: how to define stopping rules of the randomized computation that stands at the core of the DAF method. We define stopping rules that are easier to interpret and show that the number of randomly generated probes does not need to be extensive. |
| action |
| ARLID |
cav_un_auth*0296973 |
| name |
CIARP 2013, Iberoamerican Congress on Pattern Recognition /18./ |
| dates |
20.11.2013-23.11.2013 |
| place |
Havana |
| country |
CU |
|
| RIV |
BD |
| reportyear |
2014 |
| num_of_auth |
4 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0226952 |
| cooperation |
| ARLID |
cav_un_auth*0295073 |
| name |
Vysoká škola ekonomická v Praze |
| institution |
VŠE |
| country |
CZ |
| mrcbC63-f |
Praha 3 |
|
| arlyear |
2013 |
| mrcbU14 |
84893168382 SCOPUS |
| mrcbU56 |
hypertextový soubor (PDF) 2 MB |
| mrcbU63 |
cav_un_epca*0399658 Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications 978-3-642-41821-1 286 293 Heidelberg Springer 2013 Lecture Notes in Computer Science 8258 |
|