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» An Adaptive Supersampling Method
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158
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IPPS
2007
IEEE
15 years 10 months ago
An Adaptive Semantic Filter for Blue Gene/L Failure Log Analysis
— Frequent failure occurrences are becoming a serious concern to the community of high-end computing, especially when the applications and the underlying systems rapidly grow in ...
Yinglung Liang, Yanyong Zhang, Hui Xiong, Ramendra...
165
Voted
CGF
2005
311views more  CGF 2005»
15 years 3 months ago
Cubical Marching Squares: Adaptive Feature Preserving Surface Extraction from Volume Data
In this paper, we present a new method for surface extraction from volume data which preserves sharp features, maintains consistent topology and generates surface adaptively witho...
Chien-Chang Ho, Fu-Che Wu, Bing-Yu Chen, Yung-Yu C...
133
Voted
TASLP
2002
73views more  TASLP 2002»
15 years 3 months ago
Perceptual audio coding using adaptive pre- and post-filters and lossless compression
This paper proposes a versatile perceptual audio coding method that achieves high compression ratios and is capable of low encoding/decoding delay. It accommodates a variety of sou...
Gerald Schuller, Bin Yu, Dawei Huang, Bernd Edler
193
Voted
CVPR
2009
IEEE
16 years 8 months ago
Tracking of a Non-Rigid Object via Patch-based Dynamic Appearance Modeling and Adaptive Basin Hopping Monte Carlo Sampling
We propose a novel tracking algorithm for the target of which geometric appearance changes drastically over time. To track it, we present a local patch-based appearance model and p...
Junseok Kwon (Seoul National University), Kyoung M...
144
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KDD
2003
ACM
194views Data Mining» more  KDD 2003»
16 years 4 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee