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NIPS
2008
15 years 6 months ago
Local Gaussian Process Regression for Real Time Online Model Learning
Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...
Duy Nguyen-Tuong, Matthias Seeger, Jan Peters
ICCS
2009
Springer
15 years 11 months ago
Semantic Search - Using Graph-Structured Semantic Models for Supporting the Search Process
Semantic search attempts to go beyond the current state of the art in information access by addressing information needs on the semantic level, i.e. considering the meaning of user...
Thanh Tran, Peter Haase, Rudi Studer
HICSS
2007
IEEE
156views Biometrics» more  HICSS 2007»
15 years 11 months ago
Tendering Process Model (TPM) Implementation for B2B Integration in a Web Services Environment
Improvements can be made for tendering processes to solve B2B interoperability and integration problem by means of Web services technology. In this paper, we detail our tendering ...
Lick Lun Nick Ng, Dickson K. W. Chiu, Patrick C. K...
IPPS
2002
IEEE
15 years 9 months ago
Real-Time Communication for Distributed Vision Processing Based on Imprecise Computation Model
In this paper we propose an efficient real-time communication mechanism for distributed vision processing. One of the biggest problems of distributed vision processing, as is the ...
Hiromasa Yoshimoto, Daisaku Arita, Rin-ichiro Tani...
ICONIP
2009
15 years 2 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa