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» A Bayesian Computational Cognitive Model
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ATAL
2006
Springer
15 years 8 months ago
A model of emotions for situated agents
Emotion is an essential element of human behavior. Particularly in stressful situations such as combat, it is at least as important as rational analysis in determining a participa...
H. Van Dyke Parunak, Robert Bisson, Sven Brueckner...
IJMMS
2007
132views more  IJMMS 2007»
15 years 4 months ago
How emotion is made and measured
How we design and evaluate for emotions depends crucially on what we take emotions to be. In affective computing, affect is often taken to be another kind of information - discret...
Kirsten Boehner, Rogério de Paula, Paul Dou...
SAC
2009
ACM
15 years 11 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad
CVPR
2012
IEEE
13 years 6 months ago
Context aware topic model for scene recognition
We present a discriminative latent topic model for scene recognition. The capacity of our model is originated from the modeling of two types of visual contexts, i.e., the category...
Zhenxing Niu, Gang Hua, Xinbo Gao, Qi Tian
CVPR
1999
IEEE
16 years 6 months ago
Explaining Optical Flow Events with Parameterized Spatio-Temporal Models
A spatio-temporal representation for complex optical flow events is developed that generalizes traditional parameterized motion models (e.g. affine). These generative spatio-tempo...
Michael J. Black