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» Missing Data Estimation Using Polynomial Kernels
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121
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RECOMB
2002
Springer
16 years 3 months ago
A new approach to analyzing gene expression time series data
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
Ziv Bar-Joseph, Georg Gerber, David K. Gifford, To...
102
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ECCV
2004
Springer
15 years 8 months ago
A New Robust Technique for Stabilizing Brightness Fluctuations in Image Sequences
Abstract. Temporal random variation of luminance in images can manifest in film and video due to a wide variety of sources. Typical in archived films, it also affects scenes rec...
François Pitié, Rozenn Dahyot, Franc...
167
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ESANN
2006
15 years 4 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
119
Voted
IOR
2008
104views more  IOR 2008»
15 years 2 months ago
Arrival Rate Approximation by Nonnegative Cubic Splines
Estimating the arrival rate function of a non-homogeneous Poisson process based on observed arrival data is a problem naturally arising in many applications. Cubic spline function...
Farid Alizadeh, Jonathan Eckstein, Nilay Noyan, G&...
155
Voted
RTSS
2003
IEEE
15 years 8 months ago
Data Caches in Multitasking Hard Real-Time Systems
Data caches are essential in modern processors, bridging the widening gap between main memory and processor speeds. However, they yield very complex performance models, which make...
Xavier Vera, Björn Lisper, Jingling Xue