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» Dependent Gaussian Processes
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119
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IDA
2007
Springer
15 years 4 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
172
Voted
ICIP
2010
IEEE
15 years 2 months ago
Entropies and cross-entropies of exponential families
Statistical modeling of images plays a crucial role in modern image processing tasks like segmentation, object detection and restoration. Although Gaussian distributions are conve...
Frank Nielsen, Richard Nock
ICIP
1994
IEEE
16 years 6 months ago
Robust B-Spline Image Smoothing
In this work we present a new approach to two - dimensional robust spline smoothing. The proposed method is based on M-estimator algorithms but unlike in other M-estimator based i...
Marta Karczewicz, Moncef Gabbouj, Jaakko Astola
NPL
2006
82views more  NPL 2006»
15 years 4 months ago
How Online Learning Approaches Ornstein Uhlenbeck Processes
We show that under reasonable conditions, online learning for a nonlinear function near a local minimum is similar to a multivariate Ornstein Uhlenbeck process. This implies that ...
Fredrik A. Dahl
CORR
2008
Springer
68views Education» more  CORR 2008»
15 years 5 months ago
Three-dimensional Random Voronoi Tessellations: From Cubic Crystal Lattices to Poisson Point Processes
We perturb the simple cubic (SC), body-centered cubic (BCC), and face-centered cubic (FCC) structures with a spatial Gaussian noise whose adimensional strength is controlled by th...
Valerio Lucarini