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» Using Goal-Models to Analyze Variability
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SIAMSC
2008
179views more  SIAMSC 2008»
15 years 5 months ago
Multigrid Algorithms for Inverse Problems with Linear Parabolic PDE Constraints
Abstract. We present a multigrid algorithm for the solution of distributed parameter inverse problems constrained by variable-coefficient linear parabolic partial differential equa...
Santi S. Adavani, George Biros
ICIP
1997
IEEE
16 years 7 months ago
Motion-Compensating Long-Term Memory Prediction
Motion-compensating long-term memory prediction extends the spatial dislplacement utilized in block-based hybrid video coding by a variable time delay permitting the use of more f...
Thomas Wiegand, X. Zhang, Bernd Girod
ISQED
2009
IEEE
111views Hardware» more  ISQED 2009»
16 years 24 days ago
Efficient statistical analysis of read timing failures in SRAM circuits
A system-level statistical analysis methodology is described that captures the impact of inter- and intra-die process variations for read timing failures in SRAM circuit blocks. U...
Soner Yaldiz, Umut Arslan, Xin Li, Larry T. Pilegg...
LOPSTR
2009
Springer
16 years 16 days ago
Goal-Directed and Relative Dependency Pairs for Proving the Termination of Narrowing
In this work, we first consider a goal-oriented extension of the dependency pair framework for proving termination w.r.t. a given set of initial terms. Then, we introduce a new re...
José Iborra, Naoki Nishida, Germán V...
BIBE
2008
IEEE
100views Bioinformatics» more  BIBE 2008»
16 years 14 days ago
Wavelet entropy differentiations of event related potentials in dyslexia
Abstract—The wavelet entropy (WE) of rest electroencephalogram (EEG) and of event-related potentials (ERP) carries information about the degree of order or disorder associated wi...
Giorgos A. Giannakakis, Nikolaos N. Tsiaparas, Mon...