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139
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SDM
2012
SIAM
322views Data Mining» more  SDM 2012»
13 years 3 months ago
Adaptive Multi-task Sparse Learning with an Application to fMRI Study
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
SENSYS
2003
ACM
15 years 6 months ago
On the scaling laws of dense wireless sensor networks
We consider dense wireless sensor networks deployed to observe arbitrary random fields. The requirement is to reconstruct an estimate of the random field at a certain collector ...
Praveen Kumar Gopala, Hesham El Gamal
104
Voted
RECOMB
2002
Springer
16 years 1 months ago
A new approach to analyzing gene expression time series data
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
Ziv Bar-Joseph, Georg Gerber, David K. Gifford, To...
103
Voted
CODES
2008
IEEE
15 years 7 months ago
Static analysis for fast and accurate design space exploration of caches
Application-specific system-on-chip platforms create the opportunity to customize the cache configuration for optimal performance with minimal chip estate. Simulation, in partic...
Yun Liang, Tulika Mitra
101
Voted
MMNS
2007
105views Multimedia» more  MMNS 2007»
15 years 2 months ago
Monitoring Flow Aggregates with Controllable Accuracy
In this paper, we show the feasibility of real-time flow monitoring with controllable accuracy in today’s IP networks. Our approach is based on Netflow and A-GAP. A-GAP is a prot...
Alberto Gonzalez Prieto, Rolf Stadler