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NN
2008
Springer
143views Neural Networks» more  NN 2008»
15 years 3 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
CVPR
1996
IEEE
16 years 6 months ago
MUSE: Robust Surface Fitting using Unbiased Scale Estimates
Despite many successful applications of robust statistics, they have yet to be completely adapted to many computer vision problems. Range reconstruction, particularly in unstructu...
James V. Miller, Charles V. Stewart
141
Voted
CVPR
2004
IEEE
16 years 6 months ago
A Probabilistic Framework for Combining Tracking Algorithms
For the past few years researches have been investigating enhancing tracking performance by combining several different tracking algorithms. We propose an analytically justified, ...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
129
Voted
ICML
2006
IEEE
16 years 4 months ago
Nonstationary kernel combination
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
Darrin P. Lewis, Tony Jebara, William Stafford Nob...
DATE
2008
IEEE
78views Hardware» more  DATE 2008»
15 years 10 months ago
Simultaneous FU and Register Binding Based on Network Flow Method
– With the rapid increase of design complexity and the decrease of device features in nano-scale technologies, interconnection optimization in digital systems becomes more and mo...
Jason Cong, Junjuan Xu