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» Field modeling with sampled distances
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JMLR
2010
145views more  JMLR 2010»
13 years 2 months ago
Parallelizable Sampling of Markov Random Fields
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
James Martens, Ilya Sutskever
ICASSP
2011
IEEE
12 years 11 months ago
Robust sound field reproduction integrating multi-point sound field control and wave field synthesis
For a reproduced sound field, the competing goals between the listening area and reproduction accuracy in an actual environment is one of the most important problems in sound fi...
Noriyoshi Kamado, Hiroshi Saruwatari, Kiyohiro Shi...
VR
2009
IEEE
172views Virtual Reality» more  VR 2009»
14 years 2 months ago
Measurement Protocols for Medium-Field Distance Perception in Large-Screen Immersive Displays
How do users of virtual environments perceive virtual space? Many experiments have explored this question, but most of these have used head-mounted immersive displays. This paper ...
Eric Klein, J. Edward Swan II, Gregory S. Schmidt,...
ICN
2005
Springer
14 years 1 months ago
Network Traffic Sampling Model on Packet Identification
Spatially coordinated packet sampling can be implemented by using a deterministic function of packet content to determine the selection decision for a given packet. In this way, a...
Guang Cheng, Jian Gong, Wei Ding 0001
ICASSP
2011
IEEE
12 years 11 months ago
A kernelized maximal-figure-of-merit learning approach based on subspace distance minimization
We propose a kernelized maximal-figure-of-merit (MFoM) learning approach to efficiently training a nonlinear model using subspace distance minimization. In particular, a fixed,...
Byungki Byun, Chin-Hui Lee