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AMAI
2008
Springer
13 years 7 months ago
Bayesian learning of Bayesian networks with informative priors
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
Nicos Angelopoulos, James Cussens
ICRA
2009
IEEE
158views Robotics» more  ICRA 2009»
13 years 5 months ago
MMM-classification of 3D range data
This paper presents a method for accurately segmenting and classifying 3D range data into particular object classes. Object classification of input images is necessary for applicat...
Anuraag Agrawal, Atsushi Nakazawa, Haruo Takemura
ICA
2007
Springer
13 years 9 months ago
Gradient Convolution Kernel Compensation Applied to Surface Electromyograms
Abstract. This paper introduces gradient based method for robust assessment of the sparse pulse sources, such as motor unit innervation pulse trains in the filed of electromyograp...
Ales Holobar, Damjan Zazula
IMAMS
2003
212views Mathematics» more  IMAMS 2003»
13 years 9 months ago
Watermarking 3D Polygonal Meshes Using the Singular Spectrum Analysis
Watermarking is to embed a structure called a watermark into the target data such as images. The watermark can be used, for example, in order to secure the copyright and detect tam...
Kohei Muratani, Kokichi Sugihara
CCS
2011
ACM
12 years 7 months ago
PaperSpeckle: microscopic fingerprinting of paper
Paper forgery is among the leading causes of corruption in many developing regions [2]. In this paper, we introduce PaperSpeckle, a robust system that leverages the natural random...
Ashlesh Sharma, Lakshminarayanan Subramanian, Eric...