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» An Adaptive Supersampling Method
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IPPS
2007
IEEE
16 years 1 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...
CGF
2005
311views more  CGF 2005»
15 years 7 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...
TASLP
2002
73views more  TASLP 2002»
15 years 6 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
CVPR
2009
IEEE
16 years 12 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...
KDD
2003
ACM
194views Data Mining» more  KDD 2003»
16 years 7 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