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ICCV
2005
IEEE
16 years 1 months ago
Building a Classification Cascade for Visual Identification from One Example
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
IJCV
2008
192views more  IJCV 2008»
14 years 12 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
ECCV
2004
Springer
16 years 1 months ago
Audio-Video Integration for Background Modelling
This paper introduces a new concept of surveillance, namely, audio-visual data integration for background modelling. Actually, visual data acquired by a fixed camera can be easily ...
Marco Cristani, Manuele Bicego, Vittorio Murino
TRECVID
2008
15 years 1 months ago
Learning TRECVID'08 High-Level Features from YouTube
Run No. Run ID Run Description infMAP (%) training on TV08 data 1 IUPR-TV-M SIFT visual words with maximum entropy 6.1 2 IUPR-TV-MF SIFT with maximum entropy, fused with color+tex...
Adrian Ulges, Christian Schulze, Markus Koch, Thom...
SIGCSE
2009
ACM
155views Education» more  SIGCSE 2009»
16 years 13 days ago
Increasing engagement in automata theory with JFLAP
We describe the results from a two-year study with fourteen universities on presenting formal languages in a more visual, interactive and applied manner using JFLAP. In our result...
Susan H. Rodger, Eric Wiebe, Kyung Min Lee, Chris ...