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ICIP
2009
IEEE
15 years 11 months ago
2009
IEEE
We consider the problem of head tracking and pose estimation in realtime from low resolution images. Tracking and pose recognition are treated as two coupled problems in a probabi...
LREC
2008
14 years 11 months ago
2008
Morfette is a modular, data-driven, probabilistic system which learns to perform joint morphological tagging and lemmatization from morphologically annotated corpora. The system i...
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
ICCV
2007
IEEE
15 years 12 months ago
2007
IEEE
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
KDD
2002
ACM
15 years 10 months ago
2002
ACM
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...