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ICPR
2004
IEEE
16 years 7 months ago
Gaussian Noise Elimination in Colour Images by Vector-Connected Filters
This paper deals with the use of vector-connected filters for eliminating Gaussian noise in colour images. This class of morphological filters suppresses noise but preserves the c...
Fernando Torres Medina, Francisco Ortiz, Pablo Gil
ICIP
2005
IEEE
16 years 4 days ago
Automatic registration of 3D datasets using Gaussian fields
—In this paper we introduce a new 3D automatic registration method based on Gaussian fields and energy minimization. The method defines a simple ∞ C energy function, which is c...
Faysal Boughorbel, Andreas Koschan, Mongi A. Abidi
ICA
2010
Springer
15 years 7 months ago
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
Takanori Inazumi, Shohei Shimizu, Takashi Washio
CORR
2010
Springer
134views Education» more  CORR 2010»
15 years 6 months ago
Large Margin Multiclass Gaussian Classification with Differential Privacy
As increasing amounts of sensitive personal information is aggregated into data repositories, it has become important to develop mechanisms for processing the data without revealin...
Manas A. Pathak, Bhiksha Raj
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
16 years 3 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar