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JMLR
2008
159views more  JMLR 2008»
13 years 10 months ago
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
Andreas Krause, Ajit Paul Singh, Carlos Guestrin
TIT
2008
95views more  TIT 2008»
13 years 10 months ago
Error Exponent Regions for Gaussian Broadcast and Multiple-Access Channels
In modern communication systems, different users have different requirements for quality of service (QoS). In this work, QoS refers to the average codeword error probability experi...
Lihua Weng, S. Sandeep Pradhan, Achilleas Anastaso...
TIP
1998
142views more  TIP 1998»
13 years 9 months ago
Inversion of large-support ill-posed linear operators using a piecewise Gaussian MRF
Abstract—We propose a method for the reconstruction of signals and images observed partially through a linear operator with a large support (e.g., a Fourier transform on a sparse...
Mila Nikolova, Jérôme Idier, Ali Moha...
CEC
2010
IEEE
13 years 9 months ago
Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling
Abstract— We present a unifying framework for continuous optimization and sampling. This framework is based on Gaussian Adaptation (GaA), a search heuristic developed in the late...
Christian L. Müller, Ivo F. Sbalzarini
PAMI
2010
168views more  PAMI 2010»
13 years 8 months ago
Surface-from-Gradients without Discrete Integrability Enforcement: A Gaussian Kernel Approach
—Representative surface reconstruction algorithms taking a gradient field as input enforces the integrability constraint in a discrete manner. While enforcing integrability allo...
Heung-Sun Ng, Tai-Pang Wu, Chi-Keung Tang