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» Experimental Models for Validating Technology
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CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
16 years 11 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
TIM
2011
125views more  TIM 2011»
14 years 10 months ago
A BE-SOI MEMS for Inertial Measurement in Geophysical Applications
—In this paper, an inertial transducer developed in bulk and etch silicon-on-insulator microelectromechanical-system technology is presented. The device is suitable for low-frequ...
Bruno Ando, Salvatore Baglio, Gaetano L'Episcopo, ...
IROS
2009
IEEE
125views Robotics» more  IROS 2009»
15 years 10 months ago
Microbubble generation using a syringe pump
The context of this paper is to study the use of capillary microgripper in submerged mediums which requires the use of microbubbles. This paper presents a model and experimentatio...
Cyrille Lenders, Michaël Gauthier, Pierre Lam...
141
Voted
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
15 years 4 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
143
Voted
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
16 years 1 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li