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IJCAI
2001
13 years 12 months ago
Leveraging Data About Users in General in the Learning of Individual User Models
Models of computer users that are learned on the basis of data can make use of two types of information: data about users in general and data about the current individual user. Fo...
Anthony Jameson, Frank Wittig
NIPS
2004
13 years 12 months ago
Nonlinear Blind Source Separation by Integrating Independent Component Analysis and Slow Feature Analysis
In contrast to the equivalence of linear blind source separation and linear independent component analysis it is not possible to recover the original source signal from some unkno...
Tobias Blaschke, Laurenz Wiskott
NIPS
2003
13 years 12 months ago
One Microphone Blind Dereverberation Based on Quasi-periodicity of Speech Signals
Speech dereverberation is desirable with a view to achieving, for example, robust speech recognition in the real world. However, it is still a challenging problem, especially when...
Tomohiro Nakatani, Masato Miyoshi, Keisuke Kinoshi...
BMVC
2000
13 years 12 months ago
Data and Decision Level Fusion of Temporal Information for Automatic Target Recognition
Automatic Target Recognition (ATR) is a demanding application that requires separation of targets from a noisy background in a sequence of images. In our previous work [5] the bac...
Kieron Messer, Josef Kittler
UAI
2003
13 years 12 months ago
The Information Bottleneck EM Algorithm
Learning with hidden variables is a central challenge in probabilistic graphical models that has important implications for many real-life problems. The classical approach is usin...
Gal Elidan, Nir Friedman