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» Co-clustering numerical data under user-defined constraints
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SADM
2010
100views more  SADM 2010»
13 years 28 days ago
Co-clustering numerical data under user-defined constraints
Ruggero G. Pensa, Jean-François Boulicaut, ...
ICASSP
2011
IEEE
12 years 10 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 3 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 10 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 10 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