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MA
2010
Springer
94views Communications» more  MA 2010»
13 years 8 months ago
On sparse estimation for semiparametric linear transformation models
: Semiparametric linear transformation models have received much attention due to its high flexibility in modeling survival data. A useful estimating equation procedure was recent...
Hao Helen Zhang, Wenbin Lu, Hansheng Wang
EDBT
2004
ACM
131views Database» more  EDBT 2004»
14 years 10 months ago
Declustering Two-Dimensional Datasets over MEMS-Based Storage
Due to the large difference between seek time and transfer time in current disk technology, it is advantageous to perform large I/O using a single sequential access rather than mu...
Hailing Yu, Divyakant Agrawal, Amr El Abbadi
CORR
2010
Springer
93views Education» more  CORR 2010»
13 years 10 months ago
Rank Awareness in Joint Sparse Recovery
In this paper we revisit the sparse multiple measurement vector (MMV) problem, where the aim is to recover a set of jointly sparse multichannel vectors from incomplete measurement...
Mike E. Davies, Yonina C. Eldar
CVPR
2009
IEEE
15 years 5 months ago
Optimization of Landmark Selection for Cortical Surface Registration
Manually labeled landmark sets are often required as in- puts for landmark-based image registration. Identifying an optimal subset of landmarks from a training dataset may be us...
Anand A. Joshi, David W. Shattuck, Dimitrios Panta...
POPL
2009
ACM
14 years 11 months ago
Modular code generation from synchronous block diagrams: modularity vs. code size
We study modular, automatic code generation from hierarchical block diagrams with synchronous semantics. Such diagrams are the fundamental model behind widespread tools in the emb...
Roberto Lublinerman, Christian Szegedy, Stavros Tr...