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BMCBI
2004
117views more  BMCBI 2004»
15 years 6 months ago
Cancer characterization and feature set extraction by discriminative margin clustering
Background: A central challenge in the molecular diagnosis and treatment of cancer is to define a set of molecular features that, taken together, distinguish a given cancer, or ty...
Kamesh Munagala, Robert Tibshirani, Patrick O. Bro...
ICASSP
2011
IEEE
14 years 10 months ago
Collaborative sources identification in mixed signals via hierarchical sparse modeling
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on CHiLasso, a convex collaborative hierarchical s...
Pablo Sprechmann, Ignacio Ramírez, Pablo Ca...
PVM
1998
Springer
15 years 10 months ago
SKaMPI: A Detailed, Accurate MPI Benchmark
Abstract. SKaMPI is a benchmark for MPI implementations. Its purpose is the detailed analysis of the runtime of individual MPI operations and comparison of these for di erent imple...
Ralf Reussner, Peter Sanders, Lutz Prechelt, Matth...
ICDCS
2009
IEEE
16 years 3 months ago
FLASH: Fine-Grained Localization in Wireless Sensor Networks Using Acoustic Sound Transmissions and High Precision Clock Synchro
Sensor localization in wireless sensor networks is an important component of many applications. Previous work has demonstrated how localization can be achieved using various metho...
Evangelos Mangas, Angelos Bilas
CORR
2010
Springer
174views Education» more  CORR 2010»
15 years 6 months ago
Collaborative Spectrum Sensing from Sparse Observations in Cognitive Radio Networks
Spectrum sensing, which aims at detecting spectrum holes, is the precondition for the implementation of cognitive radio. Collaborative spectrum sensing among the cognitive radio n...
Jia Meng, Wotao Yin, Husheng Li, Ekram Hossain, Zh...