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DAC
2004
ACM
16 years 7 months ago
Automated energy/performance macromodeling of embedded software
Efficient energy and performance estimation of embedded software is a critical part of any system-level design flow. Macromodeling based estimation is an attempt to speed up estim...
Anish Muttreja, Anand Raghunathan, Srivaths Ravi, ...
DAC
2006
ACM
16 years 7 months ago
High-level power management of embedded systems with application-specific energy cost functions
Most existing dynamic voltage scaling (DVS) schemes for multiple tasks assume an energy cost function (energy consumption versus execution time) that is independent of the task ch...
Youngjin Cho, Naehyuck Chang, Chaitali Chakrabarti...
MICCAI
2006
Springer
16 years 7 months ago
Performance Evaluation of Grid-Enabled Registration Algorithms Using Bronze-Standards
Evaluating registration algorithms is difficult due to the lack of gold standard in most clinical procedures. The bronze standard is a real-data based statistical method providing ...
Tristan Glatard, Xavier Pennec, Johan Montagnat
IPMI
2007
Springer
16 years 7 months ago
Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images
A fully learning-based framework has been presented for deformable registration of MR brain images. In this framework, the entire brain is first adaptively partitioned into a numbe...
Guorong Wu, Feihu Qi, Dinggang Shen
IPMI
2009
Springer
16 years 7 months ago
DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency weighting
A general-purpose deformable registration algorithm referred to as ”DRAMMS” is presented in this paper. DRAMMS adds to the literature of registration methods that bridge betw...
Yangming Ou, Christos Davatzikos
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