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» SUSTAIN: A Model of Human Category Learning
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82
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COGSCI
2010
99views more  COGSCI 2010»
14 years 10 months ago
Learning to Learn Causal Models
Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical B...
Charles Kemp, Noah D. Goodman, Joshua B. Tenenbaum
92
Voted
CVPR
2010
IEEE
15 years 6 months ago
Learning a Hierarchy of Discriminative Space-Time Neighborhood Features for Human Action Recognition
Recent work shows how to use local spatio-temporal features to learn models of realistic human actions from video. However, existing methods typically rely on a predefined spatial...
Adriana Kovashka, Kristen Grauman
74
Voted
COGSCI
2008
129views more  COGSCI 2008»
14 years 10 months ago
A Rational Analysis of Rule-Based Concept Learning
We propose a new model of human concept learning that provides a rational analysis for learning of feature-based concepts. This model is built upon Bayesian inference for a gramma...
Noah D. Goodman, Joshua B. Tenenbaum, Jacob Feldma...
GROUP
2009
ACM
15 years 4 months ago
Grounding interpersonal privacy in mediated settings
Recent technologies supporting continuous connectivity enable sustained awareness within social networks, which eventually boosts interaction and therefore the need of individuals...
Natalia A. Romero, Panos Markopoulos
87
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FGCN
2008
IEEE
175views Communications» more  FGCN 2008»
15 years 4 months ago
Environment Recognition Based on Human Actions Using Probability Networks
To realize context aware applications for smart home environments, it is necessary to recognize function or usage of objects as well as categories of them. On conventional researc...
Hiroshi Miki, Atsuhiro Kojima, Koichi Kise