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WIRN
2005
Springer
14 years 2 months ago
Ensembles Based on Random Projections to Improve the Accuracy of Clustering Algorithms
We present an algorithmic scheme for unsupervised cluster ensembles, based on randomized projections between metric spaces, by which a substantial dimensionality reduction is obtai...
Alberto Bertoni, Giorgio Valentini
CORR
2002
Springer
180views Education» more  CORR 2002»
13 years 8 months ago
Non-negative sparse coding
Abstract. Non-negative sparse coding is a method for decomposing multivariate data into non-negative sparse components. In this paper we briefly describe the motivation behind this...
Patrik O. Hoyer
SIAMMAX
2010
111views more  SIAMMAX 2010»
13 years 3 months ago
Stochastic Galerkin Matrices
We investigate the structural, spectral, and sparsity properties of Stochastic Galerkin matrices as they arise in the discretization of linear differential equations with random co...
Oliver G. Ernst, Elisabeth Ullmann
ICIP
2006
IEEE
14 years 10 months ago
Virtual Craniofacial Reconstruction from Computed Tomography Image Sequences Exhibiting Multiple Fractures
A novel procedure for in-silico (virtual) craniofacial reconstruction of human mandibles with multiple fractures from a sequence of Computed Tomography (CT) images is presented. T...
Ananda S. Chowdhury, Suchendra M. Bhandarkar, Robe...
ICML
2007
IEEE
14 years 9 months ago
More efficiency in multiple kernel learning
An efficient and general multiple kernel learning (MKL) algorithm has been recently proposed by Sonnenburg et al. (2006). This approach has opened new perspectives since it makes ...
Alain Rakotomamonjy, Francis Bach, Stéphane...