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» Unsupervised estimation for noisy-channel models
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ICASSP
2009
IEEE
14 years 7 months ago
Modelling the neurovascular habituation effect on fMRI time series
In this paper, a novel non-stationary model of functional Magnetic Resonance Imaging (fMRI) time series is proposed. It allows us to account for some putative habituation effect a...
Philippe Ciuciu, Stéphane Sockeel, Thomas V...
CVPR
2010
IEEE
15 years 6 months ago
Nonparametric Higher-Order Learning for Interactive Segmentation
In this paper, we deal with a generative model for multi-label, interactive segmentation. To estimate the pixel likelihoods for each label, we propose a new higher-order formulatio...
Tae Hoon Kim (Seoul National University), Kyoung M...
IBPRIA
2007
Springer
15 years 1 months ago
A Simple But Effective Approach to Speaker Tracking in Broadcast News
The automatic transcription of broadcast news and meetings involves the segmentation, identification and tracking of speaker turns during each session, which is known as speaker di...
Luis Javier Rodríguez, Mikel Peñagar...
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ICANN
2001
Springer
15 years 2 months ago
Independent Variable Group Analysis
Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
Krista Lagus, Esa Alhoniemi, Harri Valpola
AAAI
1998
14 years 11 months ago
Knowledge Lean Word-Sense Disambiguation
We present a corpus{based approach to word{sense disambiguation that only requires information that can be automatically extracted from untagged text. We use unsupervised techniqu...
Ted Pedersen, Rebecca F. Bruce