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140
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CVPR
2009
IEEE
16 years 10 months ago
Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates
We propose a space-time Markov Random Field (MRF) model to detect abnormal activities in video. The nodes in the MRF graph correspond to a grid of local regions in the video fra...
Jaechul Kim (University of Texas at Austin), Krist...
133
Voted
EDUTAINMENT
2007
Springer
15 years 9 months ago
A Hybrid of Plot-Based and Character-Based Interactive Storytelling
Interactive storytelling in the virtual environment attracts a lot of research interests in recent years. Story plot and character are two most important elements of a story. Based...
Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen
134
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CONNECTION
2008
178views more  CONNECTION 2008»
15 years 3 months ago
Spoken language interaction with model uncertainty: an adaptive human-robot interaction system
Spoken language is one of the most intuitive forms of interaction between humans and agents. Unfortunately, agents that interact with people using natural language often experienc...
Finale Doshi, Nicholas Roy
104
Voted
AAAI
1996
15 years 4 months ago
Learning Models of Intelligent Agents
Agents that operate in a multi-agent system need an efficient strategy to handle their encounters with other agents involved. Searching for an optimal interactive strategy is a ha...
David Carmel, Shaul Markovitch
125
Voted
NN
2006
Springer
122views Neural Networks» more  NN 2006»
15 years 3 months ago
Goals and means in action observation: A computational approach
Many of our daily activities are supported by behavioural goals that guide the selection of actions, which allow us to reach these goals effectively. Goals are considered to be im...
Raymond H. Cuijpers, Hein T. van Schie, Mathieu Ko...