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MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 5 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang
ICDAR
2003
IEEE
15 years 5 months ago
Recognition of Folding Process from Origami Drill Books
This paper describes a framework to recognizing and recreating folding process of origami based on illustrations of origami drill books. Illustration images acquired from origami ...
Hiroshi Shimanuki, Jien Kato, Toyohide Watanabe
EGH
2009
Springer
14 years 9 months ago
Parallel view-dependent tessellation of Catmull-Clark subdivision surfaces
We present a strategy for performing view-adaptive, crack-free tessellation of Catmull-Clark subdivision surfaces entirely on programmable graphics hardware. Our scheme extends th...
Anjul Patney, Mohamed S. Ebeida, John D. Owens
WWW
2006
ACM
16 years 9 days ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
MIR
2005
ACM
198views Multimedia» more  MIR 2005»
15 years 5 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