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97
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ICML
2006
IEEE
16 years 2 months ago
Predictive linear-Gaussian models of controlled stochastic dynamical systems
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
Matthew R. Rudary, Satinder P. Singh
113
Voted
ICML
2006
IEEE
16 years 2 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
TIP
2010
119views more  TIP 2010»
14 years 8 months ago
Trajectory Classification Using Switched Dynamical Hidden Markov Models
This paper proposes an approach for recognizing human activities (more specifically, pedestrian trajectories) in video sequences, in a surveillance context. A system for automatic ...
Jacinto C. Nascimento, Mário A. T. Figueire...
108
Voted
ECAL
1999
Springer
15 years 6 months ago
Modeling Categorization Dynamics through Conversation by Constructive Approach
Categorization dynamics as the clustering of words in word relation is studied by a constructive approach which is suited to inquire evolutionary linguistics with dynamical view on...
Takashi Hashimoto
CONTEXT
1999
Springer
15 years 6 months ago
Dynamics and Automaticity of Context: A Cognitive Modeling Approach
AI and psychological approaches to context are contrasted and the dynamic and automatic nature of the continuous context change in human cognition is emphasized. A dynamic theory o...
Boicho N. Kokinov