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» Hidden Markov Models with Multiple Observation Processes
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ISSADS
2005
Springer
15 years 9 months ago
On the Role of Information Compaction to Intrusion Detection
An intrusion detection system (IDS) usually has to analyse Giga-bytes of audit information. In the case of anomaly IDS, the information is used to build a user profile characteris...
Fernando Godínez, Dieter Hutter, Raul Monro...
CVPR
2008
IEEE
16 years 5 months ago
Visibility in bad weather from a single image
Bad weather, such as fog and haze, can significantly degrade the visibility of a scene. Optically, this is due to the substantial presence of particles in the atmosphere that abso...
Robby T. Tan
125
Voted
ICIP
2008
IEEE
16 years 5 months ago
Motion blur free HDR image acquisition using multiple exposures
The high dynamic range image (HDRI) acquisition method based on Markov random field model is proposed. By combining multiple exposure images shot with different shutter speed, we ...
Takao Jinno, Masahiro Okuda
141
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Dirichlet process mixture models with multiple modalities
The Dirichlet process can be used as a nonparametric prior for an infinite-dimensional probability mass function on the parameter space of a mixture model. The set of parameters o...
John William Paisley, Lawrence Carin
JMLR
2012
13 years 6 months ago
Gaussian Processes for time-marked time-series data
In many settings, data is collected as multiple time series, where each recorded time series is an observation of some underlying dynamical process of interest. These observations...
John Cunningham, Zoubin Ghahramani, Carl Edward Ra...