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IBPRIA
2009
Springer
14 years 7 days ago
Inference and Learning for Active Sensing, Experimental Design and Control
In this paper we argue that maximum expected utility is a suitable framework for modeling a broad range of decision problems arising in pattern recognition and related fields. Exa...
Hendrik Kück, Matthew Hoffman, Arnaud Doucet,...
ACSW
2007
13 years 9 months ago
Controlling Inference: Avoiding P-level Reduction during Analysis
This paper presents a concept hierarchy-based approach to privacy preserving data collection for data mining called the P-level model. The P-level model allows data providers to d...
Adepele Williams, Ken Barker
NIPS
2008
13 years 9 months ago
Efficient Sampling for Gaussian Process Inference using Control Variables
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
Michalis Titsias, Neil D. Lawrence, Magnus Rattray
PERVASIVE
2009
Springer
14 years 2 months ago
Inferring Identity Using Accelerometers in Television Remote Controls
Abstract. We show that accelerometers embedded in a television remote control can be used to distinguish household members based on the unique way each person wields the remote. Th...
Keng-hao Chang, Jeffrey Hightower, Branislav Kveto...
CHI
2007
ACM
14 years 8 months ago
BodySpace: inferring body pose for natural control of a music player
We describe the BodySpace system, which uses inertial sensing and pattern recognition to allow the gestural control of a music player by placing the device at different parts of t...
Steven Strachan, Roderick Murray-Smith, M. Sile O'...