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190
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CVPR
2012
IEEE
13 years 5 months ago
Background modeling using adaptive pixelwise kernel variances in a hybrid feature space
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
Manjunath Narayana, Allen R. Hanson, Erik G. Learn...
129
Voted
ICML
2007
IEEE
16 years 4 months ago
Three new graphical models for statistical language modelling
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
Andriy Mnih, Geoffrey E. Hinton
111
Voted
ACL
2009
15 years 1 months ago
A global model for joint lemmatization and part-of-speech prediction
We present a global joint model for lemmatization and part-of-speech prediction. Using only morphological lexicons and unlabeled data, we learn a partiallysupervised part-of-speec...
Kristina Toutanova, Colin Cherry
134
Voted
ICANN
2009
Springer
15 years 10 months ago
Learning Features by Contrasting Natural Images with Noise
Abstract. Modeling the statistical structure of natural images is interesting for reasons related to neuroscience as well as engineering. Currently, this modeling relies heavily on...
Michael Gutmann, Aapo Hyvärinen
135
Voted
AIRS
2004
Springer
15 years 9 months ago
Improving Transliteration with Precise Alignment of Phoneme Chunks and Using Contextual Features
Abstract. Automatic transliteration of foreign names is basically regarded as a diminutive clone of the machine translation (MT) problem. It thus follows IBM’s conventional MT mo...
Wei Gao, Kam-Fai Wong, Wai Lam