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ICML
2009
IEEE
14 years 11 months ago
Semi-supervised learning using label mean
Semi-Supervised Support Vector Machines (S3VMs) typically directly estimate the label assignments for the unlabeled instances. This is often inefficient even with recent advances ...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou
ICML
2005
IEEE
14 years 11 months ago
Supervised versus multiple instance learning: an empirical comparison
We empirically study the relationship between supervised and multiple instance (MI) learning. Algorithms to learn various concepts have been adapted to the MI representation. Howe...
Soumya Ray, Mark Craven
CHI
2004
ACM
14 years 10 months ago
Multiblending: displaying overlapping windows simultaneously without the drawbacks of alpha blending
Alpha blending allows the simultaneous display of overlapping windows--such as palette windows in visual workspaces. Although alpha blending has been used in some applications, su...
Patrick Baudisch, Carl Gutwin
ICASSP
2009
IEEE
14 years 5 months ago
Extended VTS for noise-robust speech recognition
Model compensation is a standard way of improving the robustness of speech recognition systems to noise. A number of popular schemes are based on vector Taylor series (vts) compen...
Rogier C. van Dalen, Mark J. F. Gales
ASIACRYPT
2009
Springer
14 years 5 months ago
Linearization Framework for Collision Attacks: Application to CubeHash and MD6
In this paper, an improved differential cryptanalysis framework for finding collisions in hash functions is provided. Its principle is based on linearization of compression functi...
Eric Brier, Shahram Khazaei, Willi Meier, Thomas P...