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» A framework for testing DBMS features
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CVPR
2009
IEEE
14 years 3 months ago
Recognizing realistic actions from videos
In this paper, we present a systematic framework for recognizing realistic actions from videos “in the wild.” Such unconstrained videos are abundant in personal collections as...
Jingen Liu, Jiebo Luo, Mubarak Shah
AOSD
2012
ACM
12 years 4 months ago
Reusing non-functional concerns across languages
Emerging languages are often source-to-source compiled to mainstream ones, which offer standardized, fine-tuned implementations of non-functional concerns (NFCs)—including pers...
Myoungkyu Song, Eli Tilevich
CVPR
2009
IEEE
15 years 4 months ago
Recognizing Realistic Actions from Videos in the Wild
In this paper, we present a systematic framework for re-cognizing realistic actions from videos “in the wild.” Such unconstrained videos are abundant in personal collections as...
Jingen Liu (University of Central Florida), Jiebo ...
RECOMB
2006
Springer
14 years 9 months ago
CONTRAlign: Discriminative Training for Protein Sequence Alignment
In this paper, we present CONTRAlign, an extensible and fully automatic framework for parameter learning and protein pairwise sequence alignment using pair conditional random field...
Chuong B. Do, Samuel S. Gross, Serafim Batzoglou
MM
2005
ACM
154views Multimedia» more  MM 2005»
14 years 2 months ago
Determining structure in continuously recorded videos
In this paper, we present a scene detection framework on continuously recorded videos. Conventional temporal scene segmentation methods work for the videos composed of discrete sh...
Yun Zhai, Mubarak Shah