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» When does Co-training Work in Real Data
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140
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ASPLOS
2011
ACM
14 years 7 months ago
On-the-fly elimination of dynamic irregularities for GPU computing
The power-efficient massively parallel Graphics Processing Units (GPUs) have become increasingly influential for scientific computing over the past few years. However, their ef...
Eddy Z. Zhang, Yunlian Jiang, Ziyu Guo, Kai Tian, ...
RECOMB
2007
Springer
16 years 4 months ago
An Efficient and Accurate Graph-Based Approach to Detect Population Substructure
Currently, large-scale projects are underway to perform whole genome disease association studies. Such studies involve the genotyping of hundreds of thousands of SNP markers. One o...
Srinath Sridhar, Satish Rao, Eran Halperin
113
Voted
DCC
2007
IEEE
16 years 3 months ago
Distributed Functional Compression through Graph Coloring
We consider the distributed computation of a function of random sources with minimal communication. Specifically, given two discrete memoryless sources, X and Y , a receiver wishe...
Devavrat Shah, Muriel Médard, Sidharth Jagg...
131
Voted
CCS
2009
ACM
15 years 10 months ago
Learning your identity and disease from research papers: information leaks in genome wide association study
Genome-wide association studies (GWAS) aim at discovering the association between genetic variations, particularly single-nucleotide polymorphism (SNP), and common diseases, which...
Rui Wang, Yong Fuga Li, XiaoFeng Wang, Haixu Tang,...
134
Voted
ISCA
2009
IEEE
189views Hardware» more  ISCA 2009»
15 years 10 months ago
Hybrid cache architecture with disparate memory technologies
Caching techniques have been an efficient mechanism for mitigating the effects of the processor-memory speed gap. Traditional multi-level SRAM-based cache hierarchies, especially...
Xiaoxia Wu, Jian Li, Lixin Zhang, Evan Speight, Ra...