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NIPS
2000
15 years 7 months ago
Sparse Representation for Gaussian Process Models
We develop an approach for a sparse representation for Gaussian Process (GP) models in order to overcome the limitations of GPs caused by large data sets. The method is based on a...
Lehel Csató, Manfred Opper
ISSEP
2010
Springer
243views Education» more  ISSEP 2010»
16 years 3 months ago
Object-Oriented Modeling of Object-Oriented Concepts
Teaching introductory object-oriented programming presents considerable challenges. Some of these challenges are due to the intrinsic complexity of the subject matter — object-or...
Michela Pedroni, Bertrand Meyer
ISVC
2005
Springer
15 years 12 months ago
A Hybrid HMM/DPA Adaptive Gesture Recognition Method
We present a hybrid classification method applicable to gesture recognition. The method combines elements of Hidden Markov Models (HMM) and various Dynamic Programming Alignment (...
Stjepan Rajko, Gang Qian
HASKELL
2006
ACM
16 years 13 days ago
Running the manual: an approach to high-assurance microkernel development
We propose a development methodology for designing and prototyping high assurance microkernels, and describe our application of it. The methodology is based on rapid prototyping a...
Philip Derrin, Kevin Elphinstone, Gerwin Klein, Da...
ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
16 years 1 months ago
Randomized model predictive control for robot navigation
— We suggest a new navigation approach to mobile robots, within a nonlinear model predictive control framework where a navigation function is used as a control Lyapunov function....
Jorge L. Piovesan, Herbert G. Tanner