bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0441599 |
utime |
20240103205806.6 |
mtime |
20150320235959.9 |
title
(primary) (eng) |
Visual Object Recognition in Machine Intelligence |
specification |
page_count |
6 |
media_type |
E |
|
serial |
ARLID |
cav_un_epca*0442688 |
ISBN |
978-0-88986-975-2 |
title
|
Computational Intelligence |
publisher |
place |
Calgary |
name |
ACTA press |
year |
2015 |
|
|
keyword |
Visual object recognition |
keyword |
machine intelligence |
author
(primary) |
ARLID |
cav_un_auth*0101087 |
name1 |
Flusser |
name2 |
Jan |
full_dept (cz) |
Zpracování obrazové informace |
full_dept (eng) |
Department of Image Processing |
department (cz) |
ZOI |
department (eng) |
ZOI |
institution |
UTIA-B |
full_dept |
Department of Image Processing |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
cas_special |
project |
project_id |
GA15-16928S |
agency |
GA ČR |
ARLID |
cav_un_auth*0314467 |
|
abstract
(eng) |
Machine intelligence is a very broad area consisting of several components, methods and approaches. One of its most important part is understanding visual information. A key task of image understanding is an automatic recognition of objects in the visual field of the camera/robot. The aim of the tutorial is to present a general background of supervised learning and classification techniques (on the introductory level) and selected feature-based techniques for object description. |
action |
ARLID |
cav_un_auth*0315842 |
name |
IASTED International Conference on Computational Intelligence 2015 /6./ |
place |
Innsbruck |
dates |
16.02.2015-17.02.2015 |
country |
AT |
|
reportyear |
2016 |
RIV |
JD |
num_of_auth |
1 |
presentation_type |
ZP |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0245528 |
mrcbC61 |
1 |
confidential |
S |
arlyear |
2015 |
mrcbU63 |
cav_un_epca*0442688 Computational Intelligence 978-0-88986-975-2 Calgary ACTA press 2015 |
|