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MIR
2005
ACM
198views Multimedia» more  MIR 2005»
14 years 2 months ago
Semi-automatic video annotation based on active learning with multiple complementary predictors
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that the large gap between high-level semantics and low...
Yan Song, Xian-Sheng Hua, Li-Rong Dai, Meng Wang
SP
1998
IEEE
162views Security Privacy» more  SP 1998»
14 years 27 days ago
Complete, Safe Information Flow with Decentralized Labels
The growing use of mobile code in downloaded applications and servlets has increased interest in robust mechanisms for ensuring privacy and secrecy. Information flow control is in...
Andrew C. Myers, Barbara Liskov
FAW
2008
Springer
111views Algorithms» more  FAW 2008»
13 years 10 months ago
Efficient First-Order Model-Checking Using Short Labels
We prove that there exists an O(log(n))-labeling scheme for every first-order formula with free set variables in every class of graphs that is nicely locally cwd-decomposable, whic...
Bruno Courcelle, Cyril Gavoille, Mamadou Moustapha...
NPIV
1998
ACM
117views Visualization» more  NPIV 1998»
14 years 26 days ago
Data Object and Label Placement For Information Abundant Visualizations
Placing numerous data objects and their corresponding labels in limited screen space is a challenging problem in information visualization systems. Extending map-oriented techniqu...
Jia Li, Catherine Plaisant, Ben Shneiderman
CVPR
2009
IEEE
15 years 3 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...