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ALGORITHMICA
2005
76views more  ALGORITHMICA 2005»
13 years 10 months ago
Characterizing History Independent Data Structures
We consider history independent data structures as proposed for study by Naor and Teague [3]. In a history independent data structure, nothing can be learned from the memory repre...
Jason D. Hartline, Edwin S. Hong, Alexander E. Moh...
AUTOMATICA
2002
81views more  AUTOMATICA 2002»
13 years 10 months ago
A convex approach to the characterization of the frequency response of ellipsoidal plants
This paper deals with the frequency domain properties of an ellipsoidal family of rational functions, i.e. a family of rational functions whose coefficients depend affinely on an ...
Graziano Chesi, Andrea Garulli, Alberto Tesi, Anto...
PAMI
2007
154views more  PAMI 2007»
13 years 10 months ago
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
—Over the past few decades, a large family of algorithms—supervised or unsupervised; stemming from statistics or geometry theory—has been designed to provide different soluti...
Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zha...
DAC
2008
ACM
14 years 12 months ago
Characterizing chip-multiprocessor variability-tolerance
Spatially-correlated intra-die process variations result in significant core-to-core frequency variations in chip-multiprocessors. An analytical model for frequency island chip-mu...
Sebastian Herbert, Diana Marculescu
MICCAI
2005
Springer
14 years 11 months ago
Finding Landmarks in the Functional Brain: Detection and Use for Group Characterization
Abstract. FMRI group studies are usually based on stereotactic spatial normalization and present voxel by voxel average activity across subjects. This technique does not in general...
Bertrand Thirion, Philippe Pinel, Jean-Baptiste Po...