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HIS
2008
15 years 8 months ago
REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
Hernán Ahumada, Guillermo L. Grinblat, Luca...
ICMLA
2008
15 years 8 months ago
Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies
In this work, a new learning paradigm called target selection is proposed, which can be used to test for associations between a single genetic variable and a multidimensional, qua...
Johannes Mohr, Sambu Seo, Imke Puis, Andreas Heinz...
VMV
2007
178views Visualization» more  VMV 2007»
15 years 7 months ago
Filtered Blending: A new, minimal Reconstruction Filter for Ghosting-Free Projective Texturing with Multiple Images
Whenever approximate 3D geometry is projectively texture-mapped from different directions simultaneously, annoyingly visible aliasing artifacts are the result. To prevent such gho...
Martin Eisemann, Marcus A. Magnor
COCO
2010
Springer
168views Algorithms» more  COCO 2010»
15 years 7 months ago
A New Sampling Protocol and Applications to Basing Cryptographic Primitives on the Hardness of NP
We investigate the question of what languages can be decided efficiently with the help of a recursive collisionfinding oracle. Such an oracle can be used to break collisionresistan...
Iftach Haitner, Mohammad Mahmoody, David Xiao
ICIP
2002
IEEE
16 years 8 months ago
New dictionary and fast atom searching method for matching pursuit representation of displaced frame difference
Matching Pursuit decomposes a signal into a linear expansion of functions selected from a redundant dictionary, isolating the signal structures that are coherent with respect to a...
Fulvio Moschetti, Lorenzo Granai, Pierre Vanderghe...