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PADL
2007
Springer
15 years 8 months ago
From Zinc to Design Model
We describe a preliminary implementation of the high-level modelling language Zinc. This language supports a modelling methodology in which the same Zinc model can be automatically...
Reza Rafeh, Maria J. García de la Banda, Ki...
TSP
2008
118views more  TSP 2008»
15 years 1 months ago
A Block Component Model-Based Blind DS-CDMA Receiver
In this paper, we consider the problem of blind multiuser separation-equalization in the uplink of a wideband DS-CDMA system, in a multipath propagation environment with intersymbo...
Dimitri Nion, Lieven De Lathauwer
MVA
1996
109views Computer Vision» more  MVA 1996»
15 years 3 months ago
Image Features Based on a Mixed Fractal Model and Evaluation of Their Effectiveness in Image Retrieval
Many research works on content-based image retrieval have made use of image features. On the other hand, many kinds of image features have also been developed in the research fiel...
Toshinori Hayashi, Yuzuru Tanaka
CVPR
2010
IEEE
15 years 2 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
NIPS
2007
15 years 3 months ago
Convex Clustering with Exemplar-Based Models
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Danial Lashkari, Polina Golland