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SIGIR
2006
ACM
13 years 11 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
ICCAD
2003
IEEE
136views Hardware» more  ICCAD 2003»
14 years 2 months ago
Synthesis of Heterogeneous Distributed Architectures for Memory-Intensive Applications
— Memory-intensive applications present unique challenges to an ASIC designer in terms of the choice of memory organization, memory size requirements, bandwidth and access latenc...
Chao Huang, Srivaths Ravi, Anand Raghunathan, Nira...
BMCBI
2006
139views more  BMCBI 2006»
13 years 5 months ago
Integrated functional visualization of eukaryotic genomes
Background: Increasing amounts of data from large scale whole genome analysis efforts demands convenient tools for manipulation, visualization and investigation. Whole genome plot...
Rohit Ghai, Hannes Lindemann, Trinad Chakraborty
HPCA
2004
IEEE
14 years 5 months ago
Improving Disk Throughput in Data-Intensive Servers
Low disk throughput is one of the main impediments to improving the performance of data-intensive servers. In this paper, we propose two management techniques for the disk control...
Enrique V. Carrera, Ricardo Bianchini
IPPS
2005
IEEE
13 years 11 months ago
MOCCA - Towards a Distributed CCA Framework for Metacomputing
— We describe the design and implementation of MOCCA, a distributed CCA framework implemented using the H2O metacomputing system. Motivated by the quest for appropriate metasyste...
Maciej Malawski, Dawid Kurzyniec, Vaidy S. Sundera...