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ICIP
2008
IEEE
16 years 8 months ago
A model for image patch-based algorithms
An empirical study of the domain of patch-based learning algorithms for image and video processing is conducted. As patch-based algorithms are commonly used, knowledge of the prop...
Karl S. Ni, Truong Q. Nguyen
NIPS
2003
15 years 8 months ago
Probabilistic Inference in Human Sensorimotor Processing
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...
Konrad P. Körding, Daniel M. Wolpert
EUROMICRO
1997
IEEE
15 years 11 months ago
What computer architecture can learn from computational intelligence-and vice versa
This paper considers whether the seemingly disparate fields of Computational Intelligence (CI) and computer architecture can profit from each others’ principles, results and e...
Ronald Moore, Bernd Klauer, Klaus Waldschmidt
AAAI
2007
15 years 9 months ago
Modeling and Learning Vague Event Durations for Temporal Reasoning
This paper reports on our recent work on modeling and automatically extracting vague, implicit event durations from text (Pan et al., 2006a, 2006b). It is a kind of commonsense kn...
Feng Pan, Rutu Mulkar, Jerry R. Hobbs
NIPS
2003
15 years 8 months ago
Semi-Supervised Learning with Trees
We describe a nonparametric Bayesian approach to generalizing from few labeled examples, guided by a larger set of unlabeled objects and the assumption of a latent tree-structure ...
Charles Kemp, Thomas L. Griffiths, Sean Stromsten,...