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158
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CVPR
2009
IEEE
16 years 10 months ago
Nonrigid Registration Combining Global and Local Statistics
In this paper we exploit normalized mutual information for the nonrigid registration of multimodal images. Rather than assuming that image statistics are spatially stationary, a...
Zhao Yi (UCLA), Stefano Soatto (UCLA)
114
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ECML
2005
Springer
15 years 9 months ago
Error-Sensitive Grading for Model Combination
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Surendra K. Singhi, Huan Liu
145
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KDD
2005
ACM
161views Data Mining» more  KDD 2005»
16 years 4 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
139
Voted
TSP
2011
170views more  TSP 2011»
14 years 10 months ago
Joint TDOA and FDOA Estimation: A Conditional Bound and Its Use for Optimally Weighted Localization
—Modern passive emitter-location systems are often based on joint estimation of the time-difference of arrival (TDOA) and frequency-difference of arrival (FDOA) of an unknown sig...
Arie Yeredor, Eyal Angel
126
Voted
BIBM
2008
IEEE
125views Bioinformatics» more  BIBM 2008»
15 years 5 months ago
On the Role of Local Matching for Efficient Semi-supervised Protein Sequence Classification
Recent studies in protein sequence analysis have leveraged the power of unlabeled data. For example, the profile and mismatch neighborhood kernels have shown significant improveme...
Pavel P. Kuksa, Pai-Hsi Huang, Vladimir Pavlovic