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IJAR
2008
155views more  IJAR 2008»
13 years 8 months ago
Estimation of causal effects using linear non-Gaussian causal models with hidden variables
The task of estimating causal effects from non-experimental data is notoriously difficult and unreliable. Nevertheless, precisely such estimates are commonly required in many fiel...
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen...
IJCV
2008
188views more  IJCV 2008»
13 years 8 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
CVIU
2007
120views more  CVIU 2007»
13 years 8 months ago
A comparison of Gaussian and mean curvature estimation methods on triangular meshes of range image data
Estimating intrinsic geometric properties of a surface from a polygonal mesh obtained from range data is an important stage of numerous algorithms in computer and robot vision, co...
Evgeni Magid, Octavian Soldea, Ehud Rivlin
IDA
2007
Springer
13 years 8 months ago
In search of deterministic methods for initializing K-means and Gaussian mixture clustering
The performance of K-means and Gaussian mixture model (GMM) clustering depends on the initial guess of partitions. Typically, clus∗ corresponding author 1
Ting Su, Jennifer G. Dy
TIT
2002
99views more  TIT 2002»
13 years 8 months ago
Feedback strategies for white Gaussian interference networks
A white Gaussian interference network is a channel with transmitters and receivers where the received symbols are linear combinations of the transmitted symbols and white Gaussian ...
Gerhard Kramer