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NIPS
2008
13 years 11 months ago
Analyzing human feature learning as nonparametric Bayesian inference
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Joseph Austerweil, Thomas L. Griffiths
SIGGRAPH
2010
ACM
14 years 2 months ago
Parametric reshaping of human bodies in images
We present an easy-to-use image retouching technique for realistic reshaping of human bodies in a single image. A model-based approach is taken by integrating a 3D whole-body morp...
Shizhe Zhou, Hongbo Fu, Ligang Liu, Daniel Cohen-O...
VC
2010
168views more  VC 2010»
13 years 4 months ago
From sentence to emotion: a real-time three-dimensional graphics metaphor of emotions extracted from text
This paper presents a novel concept: a graphical representation of human emotion extracted from text sentences. The major contributions of this paper are the following. First, we p...
Stéphane Gobron, Junghyun Ahn, Georgios Pal...
AAMAS
2010
Springer
13 years 9 months ago
Modeling self-deception within a decision-theoretic framework
Computational modeling of human belief maintenance and decision-making processes has become increasingly important for a wide range of applications. In this paper, we present a fra...
Jonathan Y. Ito, David V. Pynadath, Stacy C. Marse...
ECTEL
2006
Springer
14 years 1 months ago
Towards a Holistic Personalised Support for Knowledge Sharing in Virtual Learning Communities
Virtual learning communities bring together people from diverse backgrounds and provide the basis for knowledge construction and sharing. Important processes for the community to f...
Styliani Kleanthous, Vania Dimitrova