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HUMO
2007
Springer
15 years 11 months ago
Modeling Human Locomotion with Topologically Constrained Latent Variable Models
Abstract. Learned, activity-specific motion models are useful for human pose and motion estimation. Nevertheless, while the use of activityspecific models simplifies monocular t...
Raquel Urtasun, David J. Fleet, Neil D. Lawrence
ICMI
2010
Springer
220views Biometrics» more  ICMI 2010»
15 years 2 months ago
Visual speech synthesis by modelling coarticulation dynamics using a non-parametric switching state-space model
We present a novel approach to speech-driven facial animation using a non-parametric switching state space model based on Gaussian processes. The model is an extension of the shar...
Salil Deena, Shaobo Hou, Aphrodite Galata
EEE
2005
IEEE
15 years 10 months ago
From Multi-Context Business Collaboration Models to Context-Specific ebXML BPSS
UN/CEFACT’s Modelling Methodology (UMM) is used to analyze and design B2B business processes. We extend UMM by a constraint mechanism for adding business environment-specific co...
Birgit Hofreiter, Christian Huemer
ICASSP
2011
IEEE
14 years 8 months ago
A new stochastic image model based on Markov random fields and its application to texture modeling
Stochastic image modeling based on conventional Markov random fields is extensively discussed in the literature. A new stochastic image model based on Markov random fields is intr...
Siamak Yousefi, Nasser D. Kehtarnavaz
EMNLP
2009
15 years 2 months ago
A Comparison of Model Free versus Model Intensive Approaches to Sentence Compression
This work introduces a model free approach to sentence compression, which grew out of ideas from Nomoto (2008), and examines how it compares to a state-of-art model intensive appr...
Tadashi Nomoto