50 search results - page 1 / 10 » Inference and Learning for Active Sensing, Experimental Desi... |
IBPRIA
2009
Springer
13 years 9 months ago
2009
Springer
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...
SIAMIS
2011
12 years 11 months ago
2011
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
JMLR
2008
13 years 4 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
MOBISYS
2009
ACM
14 years 5 months ago
2009
ACM
Top end mobile phones include a number of specialized (e.g., accelerometer, compass, GPS) and general purpose sensors (e.g., microphone, camera) that enable new people-centric sen...
SENSYS
2010
ACM
13 years 2 months ago
2010
ACM
Supporting continuous sensing applications on mobile phones is challenging because of the resource demands of long-term sensing, inference and communication algorithms. We present...