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» Co-clustering numerical data under user-defined constraints
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SADM
2010
100views more  SADM 2010»
12 years 11 months ago
Co-clustering numerical data under user-defined constraints
Ruggero G. Pensa, Jean-François Boulicaut, ...
ICASSP
2011
IEEE
12 years 8 months ago
Co-clustering as multilinear decomposition with sparse latent factors
The K-means clustering problem seeks to partition the columns of a data matrix in subsets, such that columns in the same subset are ‘close’ to each other. The co-clustering pr...
Evangelos E. Papalexakis, Nicholas D. Sidiropoulos
MICCAI
2009
Springer
14 years 2 months ago
DISCO: A Coherent Diffeomorphic Framework for Brain Registration under Exhaustive Sulcal Constraints
Abstract. Neuroimaging at the group level requires spatial normalization of individual structural data. We propose a geometric approach that consists in matching a series of cortic...
Guillaume Auzias, Joan Glaunes, Olivier Colliot, M...
SAS
1992
Springer
171views Formal Methods» more  SAS 1992»
13 years 8 months ago
Static Analysis of CLP Programs over Numeric Domains
Abstract Constraint logic programming (CLP) is a generalization of the pure logic programming paradigm, having similar model-theoretic, fixpoint and operational semantics [9]. Sinc...
Roberto Bagnara, Roberto Giacobazzi, Giorgio Levi
CCA
2009
Springer
13 years 9 months ago
From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs under Interv
Interval computations estimate the uncertainty of the result of data processing in situations in which we only know the upper bounds ∆ on the measurement errors. In this case, ba...
Vladik Kreinovich