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BMVC
2010
13 years 8 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata
CIDU
2010
13 years 8 months ago
Analyzing Aviation Safety Reports: From Topic Modeling to Scalable Multi-Label Classification
Abstract. The Aviation Safety Reporting System (ASRS) is used to collect voluntarily submitted aviation safety reports from pilots, controllers and others. As such it is particular...
Amrudin Agovic, Hanhuai Shan, Arindam Banerjee
AI
2011
Springer
13 years 5 months ago
Learning qualitative models from numerical data
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Dem...
WSC
2000
13 years 11 months ago
Low cost response surface methods for and from simulation optimization
We propose "low cost response surface methods" (LCRSM) that typically require half the experimental runs of standard response surface methods based on central composite ...
Theodore Allen, Liyang Yu
NECO
1998
168views more  NECO 1998»
13 years 9 months ago
Constructive Incremental Learning from Only Local Information
We introduce a constructive, incremental learning system for regression problems that models data by means of spatially localized linear models. In contrast to other approaches, t...
Stefan Schaal, Christopher G. Atkeson