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ICML
2010
IEEE
15 years 3 months ago
Hilbert Space Embeddings of Hidden Markov Models
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
BMVC
2002
15 years 4 months ago
Adaptive Learning of Statistical Appearance Models for 3D Human Tracking
A likelihood formulation for human tracking is presented based upon matching feature statistics on the surface of an articulated 3D body model. A benefit of such a formulation ove...
Timothy J. Roberts, Stephen J. McKenna, Ian W. Ric...
CONCUR
2007
Springer
15 years 8 months ago
Causal Message Sequence Charts
Scenario languages based on Message Sequence Charts (MSCs) have been widely studied in the last decade [21,20,3,15,12,19,14]. The high expressive power of MSCs renders many basic ...
Thomas Gazagnaire, Blaise Genest, Loïc H&eacu...
MICAI
2010
Springer
15 years 12 days ago
Music Composition Based on Linguistic Approach
Music is a form of expression. Since machines have limited capabilities in this sense, our main goal is to model musical composition process, to allow machines to express themselve...
Horacio Alberto García Salas, Alexander F. ...
AAI
2005
117views more  AAI 2005»
15 years 1 months ago
Machine Learning in Hybrid Hierarchical and Partial-Order Planners for Manufacturing Domains
The application of AI planning techniques to manufacturing systems is being widely deployed for all the tasks involved in the process, from product design to production planning an...
Susana Fernández, Ricardo Aler, Daniel Borr...