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ICASSP
2011
IEEE
12 years 11 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
JMLR
2006
145views more  JMLR 2006»
13 years 7 months ago
Ensemble Pruning Via Semi-definite Programming
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
Yi Zhang 0006, Samuel Burer, W. Nick Street
BIRTHDAY
2010
Springer
14 years 24 days ago
Indexing and Searching a Mass Spectrometry Database
Abstract. Database preprocessing in order to create an index often permits considerable speedup in search compared to the iterated query of an unprocessed database. In this paper w...
Søren Besenbacher, Benno Schwikowski, Jens ...
IPPS
1999
IEEE
13 years 12 months ago
Reducing I/O Complexity by Simulating Coarse Grained Parallel Algorithms
Block-wise access to data is a central theme in the design of efficient external memory (EM) algorithms. A second important issue, when more than one disk is present, is fully par...
Frank K. H. A. Dehne, David A. Hutchinson, Anil Ma...
NIPS
2003
13 years 9 months ago
Convex Methods for Transduction
The 2-class transduction problem, as formulated by Vapnik [1], involves finding a separating hyperplane for a labelled data set that is also maximally distant from a given set of...
Tijl De Bie, Nello Cristianini