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CVPR
2006
IEEE
16 years 8 months ago
Applying Ensembles of Multilinear Classifiers in the Frequency Domain
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...
Christian Bauckhage, Thomas Käster, John K. T...
VIS
2004
IEEE
187views Visualization» more  VIS 2004»
16 years 7 months ago
Methods for Efficient, High Quality Volume Resampling in the Frequency Domain
Resampling is a frequent task in visualization and medical imaging. It occurs whenever images or volumes are magnified, rotated, translated, or warped. Resampling is also an integ...
Aili Li, Klaus Mueller, Thomas Ernst
MM
2006
ACM
180views Multimedia» more  MM 2006»
16 years 18 days ago
Fast tracking of near-duplicate keyframes in broadcast domain with transitivity propagation
The identification of near-duplicate keyframe (NDK) pairs is a useful task for a variety of applications such as news story threading and content-based video search. In this pape...
Chong-Wah Ngo, Wanlei Zhao, Yu-Gang Jiang
FOCS
2005
IEEE
16 years 8 days ago
Learning mixtures of product distributions over discrete domains
We consider the problem of learning mixtures of product distributions over discrete domains in the distribution learning framework introduced by Kearns et al. [18]. We give a poly...
Jon Feldman, Ryan O'Donnell, Rocco A. Servedio
CRYPTO
2005
Springer
163views Cryptology» more  CRYPTO 2005»
16 years 5 days ago
On the Generic Insecurity of the Full Domain Hash
The Full-Domain Hash (FDH) signature scheme [3] forms one the most basic usages of random oracles. It works with a family F of trapdoor permutations (TDP), where the signature of m...
Yevgeniy Dodis, Roberto Oliveira, Krzysztof Pietrz...