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104
Voted
CVPR
2003
IEEE
15 years 5 months ago
ROD-TV: Reconstruction on Demand by Tensor Voting
A “graphics for vision” approach is proposed to address the problem of reconstruction from a large and imperfect data set: reconstruction on demand by tensor voting, or ROD-TV...
Wai-Shun Tong, Chi-Keung Tang
ICPR
2006
IEEE
16 years 1 months ago
Automatic Adjacency Grammar Generation from User Drawn Sketches
In this paper we present an innovative approach to automatically generate adjacency grammars describing graphical symbols. A grammar production is formulated in terms of rulesets ...
Joan Mas Romeu, Bart Lamiroy, Gemma Sánchez...
87
Voted
AAAI
2006
15 years 1 months ago
Fast Hierarchical Goal Schema Recognition
We present our work on using statistical, corpus-based machine learning techniques to simultaneously recognize an agent's current goal schemas at various levels of a hierarch...
Nate Blaylock, James F. Allen
102
Voted
NIPS
2000
15 years 1 months ago
Structure Learning in Human Causal Induction
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
Joshua B. Tenenbaum, Thomas L. Griffiths
101
Voted
ICA
2010
Springer
15 years 20 days ago
Probabilistic Latent Tensor Factorization
We develop a probabilistic modeling framework for multiway arrays. Our framework exploits the link between graphical models and tensor factorization models and it can realize any ...
Y. Kenan Yilmaz, A. Taylan Cemgil