bibtype |
V -
Research Report
|
ARLID |
0357267 |
utime |
20240103194938.3 |
mtime |
20110404235959.9 |
title
(primary) (eng) |
Feature Selection - A Very Compact Survey Over the Diversity of Existing Approaches |
publisher |
place |
Praha |
name |
ÚTIA AV ČR, v.v.i |
pub_time |
2010 |
|
specification |
|
edition |
name |
Research Report |
volume_id |
2285 |
|
keyword |
feature selection |
keyword |
dimensionality reduction |
keyword |
survey |
author
(primary) |
ARLID |
cav_un_auth*0101197 |
name1 |
Somol |
name2 |
Petr |
full_dept (cz) |
Rozpoznávání obrazu |
full_dept (eng) |
Department of Pattern Recognition |
department (cz) |
RO |
department (eng) |
RO |
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*0101171 |
name1 |
Novovičová |
name2 |
Jana |
full_dept (cz) |
Rozpoznávání obrazu |
full_dept |
Department of Pattern Recognition |
department (cz) |
RO |
department |
RO |
institution |
UTIA-B |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0101182 |
name1 |
Pudil |
name2 |
Pavel |
full_dept (cz) |
Rozpoznávání obrazu |
full_dept |
Department of Pattern Recognition |
department (cz) |
RO |
department |
RO |
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*0021087 |
name1 |
Kittler |
name2 |
J. |
country |
GB |
|
cas_special |
project |
project_id |
2C06019 |
agency |
GA MŠk |
ARLID |
cav_un_auth*0216518 |
|
project |
project_id |
1M0572 |
agency |
GA MŠk |
ARLID |
cav_un_auth*0001814 |
|
project |
project_id |
GA102/08/0593 |
agency |
GA ČR |
ARLID |
cav_un_auth*0239567 |
|
project |
project_id |
GA102/07/1594 |
agency |
GA ČR |
ARLID |
cav_un_auth*0228611 |
|
research |
CEZ:AV0Z10750506 |
abstract
(eng) |
Feature Selection has been a subject of extensive research that nowadays extends far beyond the boundaries of statistical pattern recognition. We provide a concise yet wide view of the topic including representative references in an attempt to point out that important results can be easily overlooked or duplicated in a variety of – even indirectly related – research fields. |
reportyear |
2012 |
RIV |
BD |
permalink |
http://hdl.handle.net/11104/0195585 |
arlyear |
2010 |
mrcbU10 |
2010 |
mrcbU10 |
Praha ÚTIA AV ČR, v.v.i |
|