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CVPR
2010
IEEE
15 years 2 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
DMIN
2009
132views Data Mining» more  DMIN 2009»
15 years 2 months ago
Understanding Support Vector Machine Classifications via a Recommender System-Like Approach
Support vector machines are a valuable tool for making classifications, but their black-box nature means that they lack the natural explanatory value that many other classifiers po...
David Barbella, Sami Benzaid, Janara M. Christense...
WWW
2011
ACM
14 years 11 months ago
Survivability-oriented self-tuning of web systems
Running in a highly uncertain and changing environment, Web systems cannot always provide full set of services with optimal quality, especially when the workload is high or failur...
Bihuan Chen, Xin Peng, Yijun Yu, Wenyun Zhao
CHI
2011
ACM
14 years 8 months ago
Antiquarian answers: book restoration as a resource for design
As technologies age, they experience wear and degradation, sometimes resulting in loss of functionality. In response, parts are replaced and software is updated. Yet restorationā€...
Daniela K. Rosner, Alex S. Taylor
SIGSOFT
2006
ACM
15 years 10 months ago
Bit level types for high level reasoning
Bitwise operations are commonly used in low-level systems code to access multiple data fields that have been packed into a single word. Program analysis tools that reason about s...
Ranjit Jhala, Rupak Majumdar