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SSD
2009
Springer
149views Database» more  SSD 2009»
14 years 2 months ago
Analyzing Trajectories Using Uncertainty and Background Information
A key issue in clustering data, regardless the algorithm used, is the definition of a distance function. In the case of trajectory data, different distance functions have been pro...
Bart Kuijpers, Bart Moelans, Walied Othman, Alejan...
FOCI
2007
IEEE
14 years 1 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
VLSID
2006
IEEE
150views VLSI» more  VLSID 2006»
14 years 7 months ago
A Comprehensive SoC Design Methodology for Nanometer Design Challenges
SoC design methodologies are under constant revision due to adoption of fast shrinking process technologies at nanometer levels. Nanometer process geometries exhibit new complex d...
R. Raghavendra Kumar, Ricky Bedi, Ramadas Rajagopa...
IJCV
2000
164views more  IJCV 2000»
13 years 7 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
TSP
2010
13 years 2 months ago
Multichannel deconvolution of seismic signals using statistical MCMC methods
In this paper we propose two multichannel blind deconvolution algorithms for the restoration of two-dimensional (2D) seismic data. Both algorithms are based on a 2D reflectivity pr...
Idan Ram, Israel Cohen, Shalom Raz