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» Approximating Component Selection
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139
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OOPSLA
2010
Springer
15 years 2 months ago
An input-centric paradigm for program dynamic optimizations
Accurately predicting program behaviors (e.g., locality, dependency, method calling frequency) is fundamental for program optimizations and runtime adaptations. Despite decades of...
Kai Tian, Yunlian Jiang, Eddy Z. Zhang, Xipeng She...
139
Voted
ICDT
2005
ACM
128views Database» more  ICDT 2005»
15 years 9 months ago
The Pipelined Set Cover Problem
Abstract. A classical problem in query optimization is to find the optimal ordering of a set of possibly correlated selections. We provide an ion of this problem as a generalizati...
Kamesh Munagala, Shivnath Babu, Rajeev Motwani, Je...
130
Voted
MICCAI
2005
Springer
16 years 4 months ago
Multiscale 3D Shape Analysis Using Spherical Wavelets
Shape priors attempt to represent biological variations within a population. When variations are global, Principal Component Analysis (PCA) can be used to learn major modes of vari...
Delphine Nain, Steven Haker, Aaron F. Bobick, Alle...
102
Voted
ISBI
2004
IEEE
16 years 4 months ago
A Method for Reconstructing Label Images From a Few Projections, as Motivated by Electron Microscopy
Our aim is to produce a tessellation of space into small voxels and, based on only a few tomographic projections of an object, assign to each voxel a label that indicates one of t...
Hstau Y. Liao, Gabor T. Herman
140
Voted
ISBI
2004
IEEE
16 years 4 months ago
Wavelet-Based fMRI Statistical Analysis and Spatial Interpretation: A Unifying Approach
Wavelet-based statistical analysis methods for fMRI are able to detect brain activity without smoothing the data. Typically, the statistical inference is performed in the wavelet ...
Dimitri Van De Ville, Thierry Blu, Michael Unser