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CVPR
2010
IEEE
15 years 4 months ago
Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
The calculation of a low-rank approximation of a matrix is a fundamental operation in many computer vision applications. The workhorse of this class of problems has long been the ...
Anders Eriksson, Anton van den Hengel
ICPR
2010
IEEE
15 years 4 months ago
Improved Mandarin Keyword Spotting Using Confusion Garbage Model
This paper presents an improved acoustic keyword spotting (KWS) algorithm using a novel confusion garbage model in Mandarin conversational speech. Observing the KWS corpus, we foun...
Shilei Zhang, Zhiwei Shuang, Qin Shi, Yong Qin
IMCSIT
2010
15 years 4 months ago
BeesyBees - Efficient and Reliable Execution of Service-based Workflow Applications for BeesyCluster using Distributed Agents
Abstract--The paper presents an architecture and implementation that allows distributed execution of workflow applications in BeesyCluster using agents. BeesyCluster is a middlewar...
Pawel Czarnul, Mariusz R. Matuszek, Michal W&oacut...
IPPS
2010
IEEE
15 years 4 months ago
Using focused regression for accurate time-constrained scaling of scientific applications
Many large-scale clusters now have hundreds of thousands of processors, and processor counts will be over one million within a few years. Computational scientists must scale their ...
Bradley J. Barnes, Jeonifer Garren, David K. Lowen...
DRR
2009
15 years 4 months ago
Using synthetic data safely in classification
When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...
Jean Nonnemaker, Henry Baird