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AICCSA
2005
IEEE
129views Hardware» more  AICCSA 2005»
15 years 8 months ago
Enhanced visual evaluation of feature extractors for image mining
Plus BROWSE SEARCH IEEE XPLORE GUIDE SUPPORT View TOC Enhanced visual evaluation of feature extractors for image mining Rodrigues, J.F., Jr. Traina, A.J.M. Traina, C., Jr. Comput. ...
José Fernando Rodrigues Jr., Agma J. M. Tra...
ICCV
2011
IEEE
14 years 6 months ago
Discovering Object Instances from Scenes of Daily Living
We propose an approach to identify and segment objects from scenes that a person (or robot) encounters in Activities of Daily Living (ADL). Images collected in those cluttered sce...
Hongwen Kang, Martial Hebert, Takeo Kanade
BMVC
1997
15 years 7 months ago
Employing Region Features for Searching an Image Database
This paper describes recent work on the use of regional data extracted from segmented images for use as search keys in an image database query system. The motivation for this work...
Matthew E. J. Wood, Neill W. Campbell, Barry T. Th...
ACL
2008
15 years 8 months ago
Improving Parsing and PP Attachment Performance with Sense Information
To date, parsers have made limited use of semantic information, but there is evidence to suggest that semantic features can enhance parse disambiguation. This paper shows that sem...
Eneko Agirre, Timothy Baldwin, David Martín...
TRECVID
2008
15 years 7 months ago
Bilkent University Multimedia Database Group at TRECVID 2008
Bilkent University Multimedia Database Group (BILMDG) participated in two tasks at TRECVID 2008: content-based copy detection (CBCD) and high-level feature extraction (FE). Mostly...
Onur Kucuktunc, Muhammet Bastan, Ugur Güd&uum...