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ICCAD
1999
IEEE
84views Hardware» more  ICCAD 1999»
14 years 9 days ago
Improving coverage analysis and test generation for large designs
State space techniques have proven to be useful for measuring and improving the coverage of test vectors that are used during functional validation via simulation. By comparing th...
Jules P. Bergmann, Mark Horowitz
ECCV
2006
Springer
14 years 10 months ago
Multivariate Relevance Vector Machines for Tracking
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
ICML
2008
IEEE
14 years 8 months ago
Optimized cutting plane algorithm for support vector machines
We have developed a new Linear Support Vector Machine (SVM) training algorithm called OCAS. Its computational effort scales linearly with the sample size. In an extensive empirica...
Sören Sonnenburg, Vojtech Franc
ALT
2000
Springer
14 years 5 months ago
On the Noise Model of Support Vector Machines Regression
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...
Massimiliano Pontil, Sayan Mukherjee, Federico Gir...
CHI
2007
ACM
14 years 8 months ago
Usability of voting systems: baseline data for paper, punch cards, and lever machines
In the United States, computer-based voting machines are rapidly replacing other older technologies. While there is potential for this to be a usability improvement, particularly ...
Michael D. Byrne, Kristen K. Greene, Sarah P. Ever...