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ICASSP
2008
IEEE
16 years 1 months ago
Composite hypothesis testing by optimally distinguishable distributions
Relying on optimally distinguishable distributions (ODD), it was defined very recently a new framework for the composite hypothesis testing. We resort to the linear model to inve...
Seyed Alireza Razavi, Ciprian Doru Giurcaneanu
KBSE
2008
IEEE
16 years 1 months ago
Program Analysis with Dynamic Precision Adjustment
We present and evaluate a framework and tool for combining multiple program analyses which allows the dynamic (on-line) adjustment of the precision of each analysis depending on t...
Dirk Beyer, Thomas A. Henzinger, Grégory Th...
3DIM
1999
IEEE
15 years 11 months ago
Faithful Recovering of Quadric Surfaces from 3D Range Data
The paper proposes a reliable method for estimating quadric surfaces from 3D range data in the framework of object recognition and localization or object modelling. Instead of est...
Naoufel Werghi, Anthony Ashbrook, Robert B. Fisher...
NIPS
2008
15 years 8 months ago
Kernel Measures of Independence for non-iid Data
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smo...
WSC
2004
15 years 8 months ago
Better Selection of the Best
We present a new method of selecting the best of several competing system designs on the basis of expected steadystate performance. The method uses a new form of timeseries bootst...
Huaiyu Harry Ma, Thomas R. Willemain